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Bindu Reddy Profile
Bindu Reddy

@bindureddy

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CEO of @abacusai , using Gen AI to build Applied AI and LLM agents and systems at scale, ex-AWS / Google, passionate about human behavior and open-source AGI

San Francisco, CA
Joined May 2007
Don't wanna be here? Send us removal request.
@bindureddy
Bindu Reddy
2 years
By far, the most accurate representation of machine learning pipelines in the real world 🍿 😀
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@bindureddy
Bindu Reddy
9 months
Taking revenge on ChatGPT! 🤣
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@bindureddy
Bindu Reddy
3 years
YouTube is a much better teacher than any course or book when it comes to machine learning and data science Popular videos that have beautiful visuals help your brain absorb faster than sleep-inducing books Channels that explain key AI research papers are the cherry on top
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@bindureddy
Bindu Reddy
2 years
Deep learning explained!
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@bindureddy
Bindu Reddy
7 months
Common Probability Distributions That Occur In Nature And Why Mathematics Is The Language Of The Universe Fundamentally the patterns of the universe repeat themselves making machine learning and AI possible. Basically, when training ML models, including NNs we are attempting to…
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@bindureddy
Bindu Reddy
3 years
What actually drives all AI
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@bindureddy
Bindu Reddy
2 months
India just kissed its future goodbye! Every company deploying a GenAI model now requires approval from the Indian government! That is, you now need approval for merely deploying a 7b open source model 🤯🤯 If you know the Indian government, you know this will a huge drag!…
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@bindureddy
Bindu Reddy
2 years
Machine learning meme that is on point… Gradient descent!
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@bindureddy
Bindu Reddy
3 years
There is no better way to understand one of the most basic concepts of data science and machine learning - Correlation does not imply causation 😃
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@bindureddy
Bindu Reddy
2 years
It's never too early to start learning machine learning and data science 😲
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@bindureddy
Bindu Reddy
2 years
machine learning is magical until you understand the math... Once you do, it feels like glorified curve fitting.
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@bindureddy
Bindu Reddy
3 years
Machine learning to Einstein: That's kinda how I roll, bro :)
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@bindureddy
Bindu Reddy
3 years
Strongly recommend refreshing your linear algebra before getting into deep learning Your brain can learn and remember concepts way better if you really understand the fundamentals For example, TensorFlow basically runs computations on Tensors 👇
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@bindureddy
Bindu Reddy
3 months
Literally, the ONLY company without an open-source LLM today is OpenAI Everyone else, including Google, MSFT, and Meta, has released an open-source model.
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@bindureddy
Bindu Reddy
3 years
Your computer when you are anxiously waiting for your big machine learning training job to complete :)
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@bindureddy
Bindu Reddy
6 months
Finally, we have a hallucination leaderboard! 😍😍 Key Takeaways 📍 Not surprisingly, GPT-4 is the lowest. 📍 Open source LLama 2 70 is pretty competitive! 📍 Google's models are the lowest. Again, this is not surprising given that the #1 reason Bard is not usable is its…
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@bindureddy
Bindu Reddy
20 days
The First AI-Generated Video That Looks Super Real Microsoft Research announced VASA-1. It takes a single portrait photo and speech audio and produces a hyper-realistic talking face video with precise lip-audio sync, lifelike facial behavior, and naturalistic head movements…
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@bindureddy
Bindu Reddy
2 years
Unlike neural networks, the human brain can learn from just a few examples Sometimes, this translates to over fitting from a few personal experiences Resulting in stereotyping, experience bias and narrow mindedness
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@bindureddy
Bindu Reddy
3 years
Twitter is the closest we have to a human neural network Each of us are nodes in the collective network… Transforming the information we receive with our weights and biases and propagating it to others
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@bindureddy
Bindu Reddy
2 years
At some level, all machine learning is glorified curve fitting. Some popular curve fitting methods and the messages they send :)
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@bindureddy
Bindu Reddy
2 years
When I am having to break the news to someone who is super pumped about AI and machine learning
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@bindureddy
Bindu Reddy
2 years
Distance measures in statistics and data science
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@bindureddy
Bindu Reddy
3 years
Data science is the art of avoiding these common data fallacies.. 👇👇
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@bindureddy
Bindu Reddy
9 months
Are We Living In A Simulation? Stephen Hawking and Elon Musk, think so.... Elon Musk, Stephan Hawking, and several other serious types have postulated that we are living in a simulation and a large number of us are NPCs (non-playing characters). Nick Bostrom, an Oxford…
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@bindureddy
Bindu Reddy
9 months
Backpropagation and Gradient Descent - The dynamic duo of deep learning Ever wondered about the mathematics behind NN training? Here is a simplified way to understand the process. 1. Initialize the NN: Create a neural network and initialize it with random weights and biases.…
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@bindureddy
Bindu Reddy
3 years
All kidding aside, this popular meme illustrates the single biggest problem with supervised machine learning Sometimes the data distribution in your training dataset is only a narrow representation of the data distribution in the wild...
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@bindureddy
Bindu Reddy
9 months
Create Your Own Custom LLM ChatBot - An AI Brain for your organization A step by step tutorial on how to choose the best LLM and infrastructure to create a Custom ChatGPT and supercharge your business! A large language model (LLM) trained on your company's data can function…
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@bindureddy
Bindu Reddy
9 months
Artificial intelligence vs. human brain - a love-hate relationship As AI models (neural networks) have become more performant they have surpassed the human brain at multiple tasks Neural networks are fundamentally modeled on the human brains. Here is how they are similar…
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@bindureddy
Bindu Reddy
8 months
The Path to Conscious AI The single biggest question of our times is, will sustained innovation on LLMs inevitably lead to AI consciousness? While GPT-4 is clearly not self-aware or sentient, we don't know how GPT-6 or 7 will behave. If AI ever becomes conscious, it will have…
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@bindureddy
Bindu Reddy
9 months
Diffusion Models - The Magic Behind Stable Diffusion and MidJourney Watching an AI model generating a photorealistic image from a text prompt feels like magic. Image generation models like Stable Diffusion and MidJourney have made us all prompt artists. Here is how the magic…
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@bindureddy
Bindu Reddy
2 years
The data science trick that never fails you… Simply assume a Gaussian distribution 😉
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@bindureddy
Bindu Reddy
9 months
ANNOUNCING Giraffe - Long Context Open-Source LLMs - An AI Brain for your Organization We are excited to invent and open-source Giraffe, the world's first commercially usable 32K long-context open-source LLM based on Llama-2 Our AI research paper details our inventions around…
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@bindureddy
Bindu Reddy
1 month
Still a large number of my people in my IRL circle get their news from traditional mainstream media Frankly speaking, that terrifies me They are consuming an extremely selective and biased version of reality! No wonder we are so polarized! With the election coming, this is…
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@bindureddy
Bindu Reddy
8 months
Bayesian Neural Networks - Capturing The Uncertainty Of The Real World Life is inherently uncertain and probabilistic, and Bayesian Neural Networks (BNNs) are designed to capture and quantify that uncertainty In many real-world applications, it's not sufficient to make a…
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@bindureddy
Bindu Reddy
8 months
The Ongoing Case For Open Source LLMs Custom LLMs, long context, and efficient inference Some folks believe that training open-source LLMs is a losing battle and a complete waste of time. They argue that the gap between closed models like GPT-4 and open models like Llama will…
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@bindureddy
Bindu Reddy
1 year
Knowing the math behind machine learning is instrumental in gaining intuition about algorithms and how to apply them 👇
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@bindureddy
Bindu Reddy
4 months
The future we have all been anxiously waiting for is finally becoming real. Researchers at Stanford open-source Aloha, a low-cost robot that appears to have learned how to do fancy cooking based on imitation learning! The thesis is that robots can imitate humans after watching…
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@bindureddy
Bindu Reddy
7 months
The pace of open-source LLM innovation and research is breath-taking I suspect that open-source will soon become unbeatable for anyone except maybe OpenAI Here's why - Open-source community is way bigger than any specific company - Safety lobotomy and fear of bad press will…
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@bindureddy
Bindu Reddy
3 years
State-of-the-art AI research :)
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@bindureddy
Bindu Reddy
9 months
Types of Neural Networks - Evolution Of Deep Learning Architectures. Oppenheimer, the movie, has all of us thinking about the 40s and WW2. Believe it or not, the first neural networks (NN) were invented around the same time, in 1943! Warren McCulloch and Walter Pitts the…
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@bindureddy
Bindu Reddy
2 years
If you must define these terms Statistics: Fit your data to a particular pattern Data Science: Transform your data until you find patterns Machine Learning: Learn the patterns in your data Artificial Intelligence: Learn the patterns, generate new data
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@bindureddy
Bindu Reddy
2 years
When it takes 2 hrs to get to a decent ML model in a notebook, and 200 more to put it in production!!! 😅
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@bindureddy
Bindu Reddy
2 years
Data science is tricky and nuanced... Avoid these common data fallacies
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@bindureddy
Bindu Reddy
9 months
Large Language Models Explained - At a High Level LLMs such as GPT-4, Bard and LLama appear magical and have displayed emergent human-like intelligence Fundamentally, the work on a pretty simple principle - next-word prediction. An LLM, uses something called conditional…
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@bindureddy
Bindu Reddy
3 years
If you are looking to start your career in machine learning, I would first crawl before you run I would first learn: - SQL - Python - Basic algebra & statistics - Understand model eval/metrics and only then start training deep learning models etc.
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@bindureddy
Bindu Reddy
4 years
I often get asked what the difference between AI and ML is? Off late, the terms tend to get used very interchangeably... The tongue in cheek answer: If it is written in Python, it's probably Machine Learning If it's is written in PowerPoint, it's probably AI
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@bindureddy
Bindu Reddy
2 months
Reality check on Devin. - Devin uses GPT-4, which can get expensive very quickly. Yes, it can get even more expensive than a human - Most interview questions aren't hard to solve; even ChatGPT solves it - Implementing and solving tasks with your own shell/browser, etc, is much…
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@bindureddy
Bindu Reddy
5 months
RAG with LLMs seems deceptively simple but is extraordinarily hard to do well. Building an intelligent ChatGPT-like tool with a custom knowledge base requires multiple non-trivial components. A simple vector database for retrieval is rarely enough; you need a semantic…
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@bindureddy
Bindu Reddy
6 months
As suspected, OAI invented a way to overcome training data limitations with synthetic data When trained with enough examples, models begin to generalize nicely! Great news for open source and decentralized AI - we are no longer beholden to the data rich companies 💃❤️
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@bindureddy
Bindu Reddy
9 months
The Theory Behind Neural Networks and Why They Are So Affective Neural networks, the machine algorithm behind every Gen AI model have been extraordinarily effective at multiple tasks because they are universal approximators. The Universal Approximation Theorem (UAT) is a…
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@bindureddy
Bindu Reddy
3 years
Machine learning models learn the biases back in data and reflect them back to us Hungarians have no gendered pronouns but apparently, Google Translate has learnt all the gender stereotypes! 😱😱
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@bindureddy
Bindu Reddy
3 years
Just tried out the latest hardware Tesla autopilot update and it is pretty mind blowing The AI navigated urban roads and traffic signals like a boss Level 5 autonomy is very close and is going to be a total game changer!
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@bindureddy
Bindu Reddy
9 months
Time-series forecasting - AI to predict the future While LLMs and Gen AI have received a lot of attention, state-of-the-art (SOTA) time-series forecasting models almost seem magical when they can predict a future value with high accuracy. They are used to predict stock prices,…
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@bindureddy
Bindu Reddy
3 years
AI can take any of your old photos and turn them into poignant and moving videos This is a brilliant rendering of Alan Turing, the father of machine learning - heartfelt and touching Imagine doing this with your childhood photos and memories!!
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@bindureddy
Bindu Reddy
3 years
Pretty much the beginning of every deep learning talk :)
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@bindureddy
Bindu Reddy
9 months
Mathematics of Deep Learning - In simple terms While you can train neural networks without knowing the math behind them, understanding the fundamentals helps you develop intuition around how to get to them to converge and achieve your objective. Of course, it's absolutely…
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@bindureddy
Bindu Reddy
2 months
Every LLM has a personality GPT-4 is like a lazy reticent teenager refusing to answer questions, requiring a lot of pushing to write code and do things Claude 3 is like an eager and thoughtful adult with a bias for action Gemini is a holier-than-thou wokist that strives too…
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@bindureddy
Bindu Reddy
1 year
Recursively calling GPT-4 like AutoGPT does is a big mistake The AI hallucinations and mistakes simply compound exponentially There is nothing useful that can come out of it except over-hyped tweets from influencers trying to gain more followers
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@bindureddy
Bindu Reddy
5 months
Finally, a totally liberated and open LLM!! 😂 dolphin-2.5-mixtral-8x7 is the first totally un-censored open-source model, fine-tuned on the Mistral MoE model. It will respond to all user prompts and isn't judge-y! It doesn't impose its morality on you and will surface any…
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@bindureddy
Bindu Reddy
5 months
Prediction: LLMs are going to hit a wall after GPT-5 Reasons: - No one other than OpenAI has released a GPT-4 class model yet - We are soon going to hit a data and LLM-generated synthetic data limit - GPT-4 already uses several RLHF tricks to improve performance We will have…
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@bindureddy
Bindu Reddy
18 days
Nvidia falls 10% as Llama-3 hits the market. The algorithms are pretty good when it comes to anticipating the future and trading stock! Why buy GPUs to train LLMs when we already have a couple of world-class open-source LLMs and more coming? 🤷‍♀️🤷‍♀️
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@bindureddy
Bindu Reddy
1 year
My AI and ML research paper review time has gone down significantly. Thanks to this amazing tool - that uses an AI model to explain dense sections In the background, an LLM simplifies and explains complex concepts AI explaining AI 👏👏👏
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@bindureddy
Bindu Reddy
2 years
When you read a job description from a Big Tech company requiring production experience in deep learning and transformers...🙄🙄 I guess they are hoping BERT's authors will apply 🤷‍♀️🤷‍♀️
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@bindureddy
Bindu Reddy
2 years
Data science in the future - Use NLP to clean and wrangle data - Iterate using multiple algorithms & parameters - Offline evaluation followed by online eval - Pipelines, monitoring & measuring ongoing performance Mostly a thinking job using a modern AI/ML platform
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@bindureddy
Bindu Reddy
9 months
How transformers evolved to become the dominant neural architecture All large language models and most state-of-the-art language, forecasting, and personalization AI models are based on Transformers. Before transformers, recurrent neural nets (RNNs) were used to process…
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@bindureddy
Bindu Reddy
2 years
The story of every data science project Expectation vs. Reality 🤷‍♀️🤷‍♀️
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@bindureddy
Bindu Reddy
3 years
Understand the math behind the following machine learning algorithms - Linear Regression - Logistic Regression - Decision Trees - Naive Bayes - Gradient Boosted Trees - CNN Once you grok the math, you can intuitively sense why your model behaves the way it does
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@bindureddy
Bindu Reddy
3 months
A Novel RAG Approach That Understands The Whole Document Context RAG has rapidly evolved to be the standard way to apply LLMs in production. However, most methods are still limited because most existing methods retrieve only short contiguous chunks from a retrieval corpus,…
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@bindureddy
Bindu Reddy
5 months
ChatGPT, when asked to progressively "make a man more muscular." The final result is a croissant! 😀
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@bindureddy
Bindu Reddy
3 years
Learning one of the most important ML and data science concepts, Bayes Theorem in the context of chilling with your BAE 😀 Probability of chilling given Netflix = (Probability of Netflixing given chilling x Probability of chilling) / Probability of Netflixing
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@bindureddy
Bindu Reddy
1 month
This lady innocently questioning Karpathy’s ability to digest information is what makes this site totally worth it 🤣🤣🤣
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@bindureddy
Bindu Reddy
9 months
Linear algebra, deep learning, and GPU architectures are fundamentally interconnected Linear algebra deals with matrices & tensors and is the branch of math that is applied in deep learning (DL). GPUs are used for training DL models. Tensors and GPUs are a marriage made in…
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@bindureddy
Bindu Reddy
3 years
Recipe to getting a job in data science in 6 months - Learn Python & SQL - Brush up on stats & linear algebra - Implement key ML algorithms using Kaggle data in notebooks - Use real-world data, build machine learning models - Practice interview questions Get job :)
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@bindureddy
Bindu Reddy
2 months
Good paper by Netflix on cosine similarity. It goes back to building good RAG systems, which is hard. Before deploying these systems, you have to make intelligent decisions about chunking, hierarchical chunking, embedding, and even the algorithm for similarity look-up.…
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@bindureddy
Bindu Reddy
2 years
People think AI and ML can magically create value from data. Reality is far more complicated! :)
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@bindureddy
Bindu Reddy
4 months
RAG Or Fine-Tuning? There is a lot of confusion about when to apply which method. RAG makes sense when you have a custom knowledge base and want a standard ChatGPT-like interface on top of it. RAG has multiple components to it and can be tricky to get right. However, it's…
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@bindureddy
Bindu Reddy
4 months
The Robot Videos Continue To Be Magical Here is another video from the Aloha team where the robot does laundry, loads the dishwasher, and self-charges itself While video is teleoperated, the fascinating bit is such a low cost device is so dextrous! Particularly impressive is…
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@bindureddy
Bindu Reddy
2 years
Here are the top 9 machine learning algorithms ranked based on their impact and importance. This infographic was created by analyzing the models trained to solve thousands of real-world AI problems using our ML platform, @abacusai
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@bindureddy
Bindu Reddy
5 months
The big risk we face with AI is not extinction but addiction. As chat, role-play, and AI girlfriend apps explode, the AI models will be fine-tuned to maximize engagement. LLMs will be optimized in the same way as TikTok's algorithms, which are engineered to get you addicted.…
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@bindureddy
Bindu Reddy
3 years
Machine learning and AI - the only thing more popular than sex! proof below 👇👇👇
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@bindureddy
Bindu Reddy
4 months
Using LLMs to Convert Unstructured Data Into Structured Data One of the most common use cases for Enterprise AI is NER, or named entity extraction. It's particularly useful when combined with transcription if you run a call center - you transcribe the call and then extract…
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@bindureddy
Bindu Reddy
7 months
How Can Open Source LLMs catch up to GPT-4V and Google's Gemini? Open-source LLMs are getting really good. However, they are not as powerful as GPT-4 right yet. Plus, mutlimodal models like GPT-4V and Google's Gemini will be dropping soon... making it even harder for…
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@bindureddy
Bindu Reddy
2 years
A great data science timeline culminating to python being the most used programming language in the world!
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@bindureddy
Bindu Reddy
5 months
LLM Hallucinations Can Help Make New Scientific Discoveries. Since hallucinations are a feature, not a bug - You can get LLMs to dream up possible solutions to complex problems. You basically ask the LLM to start dreaming and then throw out the dreams that aren't plausible.…
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@bindureddy
Bindu Reddy
8 months
The Upcoming AI Wars and The Science Behind Multimodal Large Language Models (MLLMs) Today, GPT-4 reigns supreme on all the LLM benchmarks and leaderboards but rumors are that it will soon be displaced. Google is claiming its Gemini model is 5 times more powerful than GPT-4.…
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@bindureddy
Bindu Reddy
2 years
Statistics and mathematics are the backbones of data science and machine learning Key statistical techniques 👇
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@bindureddy
Bindu Reddy
6 months
OpenAI Developer Day Announcement and Implications for Open-Source AI development OpenAI's developer day was filled with a bunch of annoncements. Most notable amongst them was a 3x price cut on GPT-4-turbo, Custom GPTs and Assistants APIs Sadly and predictably, there was no…
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@bindureddy
Bindu Reddy
9 months
Bias-Variance trade-off - The goldilocks principles of machine learning Your ML model's performance depends on this! A good machine learning model is a delicate balance between bias (underfitting) and variance (overfitting). Bias refers to the error introduced by…
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@bindureddy
Bindu Reddy
2 years
Want to learn ML and data science? Don't just read tweets or watch videos, start building - learn SQL and python - try ML platforms or attend a workshop - re-play some simple Kaggle notebooks - wrangle noisy data, get to real-world machine learning
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@bindureddy
Bindu Reddy
3 months
Smaug-72B - The Best Open Source Model In The World - Top of Hugging LLM LeaderBoard!! Smaug72B from Abacus AI is available now on Hugging Face, is on top of the LLM leaderboard, and is the first model with an average score of 80!! In other words, it is the world's best…
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@bindureddy
Bindu Reddy
8 months
Why Large Language Models Hallucinate and How to Reduce it If you are a power user of ChatGPT you have probably been bitten by the hallucination bug. The LLM lulls you into getting comfortable with it and then springs a convincing but totally made-up story, playing you for a…
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@bindureddy
Bindu Reddy
17 days
The Age of Robotics The age of robotics with multimodal LLM brains is finally here. The robot will understand instructions and perform tasks. It can use a laptop, wash dishes, and make coffee! These robots will be more robust and way smarter than humans. Most of us will call…
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@bindureddy
Bindu Reddy
3 months
Here is how Gemini Gate most likely happened…. A handful of employees who write the system prompts and are in charge of nerfing LLMs can impose their morality, bias and their version of history on the rest of us These employees are so “holier than thou” that questioning…
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@bindureddy
Bindu Reddy
2 years
Working on machine learning models can easily become a serious addiction the adrenaline rush from anticipating training results + the dopamine kick that you get with incremental accuracy gains = an intoxicating combination
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@bindureddy
Bindu Reddy
4 months
Custom LLM and AI Agents (RAG) On Structured + Unstructured Data - AI Brain For Your Organization Imagine a ChatGPT-like interface over all your structured (database) and unstructured data. Ideally, you want to ask a question to an AI bot, and it should be able to run multiple…
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@bindureddy
Bindu Reddy
5 years
How Bayesian is your thinking? If you think about your beliefs in terms of probabilities and alter them based on new evidence, as opposed to shooting down evidence in order to continue to believe, you will have fewer glitches in your perception of the world.
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@bindureddy
Bindu Reddy
5 months
The Emergent Abilities of LLMs Could Be A Mirage! The best paper award in NeurIPs 2023 went to a paper claiming that the emergent abilities of LLMs could be a mirage! The paper (link in alt) asserts that emergent abilities appear due to the researcher’s choice of metric rather…
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@bindureddy
Bindu Reddy
5 months
Same query on Grok, ChatGPT, and Bard! 🤯 We are vastly underestimating the power of real-time data. Grok nails it! h/t Scobleizer
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@bindureddy
Bindu Reddy
8 months
Developers in the post-AI world 🤖😂
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@bindureddy
Bindu Reddy
8 months
The Most Popular Machine Learning Algorithms in Production Large Language Models based on the transformer architecture may be buzzy but the vast majority of the algorithms are tabular data algorithms. Here is the list of the most popular algorithms Transformers: Specialized…
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