siddharth @_singhsiddharth
Nothing To Say github.com/SiddharthSSR Gurgaon, India Joined February 2017-
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This is out now: "What Every Developer Should Know About GPU Computing" open.techwriters.info/codeconfession… It took longer than anticipated but good things usually do take time. Big thanks to @msharmavikram for reviews and suggestions, his feedback added another level of depth. GPUs are a…
This is out now: "What Every Developer Should Know About GPU Computing" open.techwriters.info/codeconfession… It took longer than anticipated but good things usually do take time. Big thanks to @msharmavikram for reviews and suggestions, his feedback added another level of depth. GPUs are a…
Finished drafting the next article. It covers the architecture of GPUs and their execution model. Will be out tomorrow after I finish reviewing and editing.
You may know that @huggingface Accelerate has big-model inference capabilities, but how does that work? With the help of #manim, let's dig in! Step 1: Load an empty model into memory using @PyTorch's `meta` device, so it uses a *super* tiny amount of RAM
Today, I'm announcing Alexandria, an open-source initiative to embed the internet. To start, we're releasing the embeddings for every research paper on the Arxiv. That's over 4m items, 600m tokens, and 3.07 billion vector dimensions. We're not stopping here.
I have built 12 AI apps in the last 12 weeks using @LangChainAI by @hwchase17 ⚡️⚡️ Onboarded 1 million users onto SamurAI 🤯 Now I am going to share this knowledge in public via an online course Giving early access to 100 learners More details below ↓
Introducing Embedding.store — Hosted Embedding Marketplace 💈 We’re building a single destination to discover, evaluate, and access relevant embeddings. Move from large expensive models to leaner open-source models without reducing accuracy. Comment 👋 for early access
Life is too short to wait for slow transcription models 🥱 That's why we've made Whisper **70x faster** Whisper JAX ⚡️ is a highly optimised Whisper implementation for both GPU and TPU Try it here: huggingface.co/spaces/sanchit… And transcribe a 1 hour of audio in under 15 seconds!
Introducing WebLLM, an open-source chatbot that brings language models (LLMs) directly onto web browsers. We can now run instruction fine-tuned LLaMA (Vicuna) models natively on your browser tab via @WebGPU with no server support. Checkout our demo at mlc.ai/web-llm .
Took a deep dive into @LangChainAI this weekend. LangChain is a simple way for tools like ChatGPT to connect with the world. What are the biggest issues with Open AI's ChatGPT? 1. Outdated training data. 2. Token limits. 3. Limited ability to talk with other apps.
Self-healing code GitHub action pipeline using @LangChainAI and @OpenAI. What an insane world we live in. A 🧵 on how it works below 👇
Happening later today 👇
Do you want to learn Distributed @PyTorch Training? Join me on a journey through the world of Distributed Model Training with PyTorch. ➡️ How to train PyTorch in a distributed fashion ➡️ How to train on MPS (M1/M2), Cuda, and TPUs ➡️ Different discord.gg/eyAUdabh?event……
Now you can interact with 100k+ open-source models - including Stable Diffusion, bioGPT, Flan, Bloom,... - and your own private models, in JS! Let's build AI better together!
Here you go! I have published my GPT training notebook on kaggle. It features a *new* way of Data loading using PyTorch data loaders and is powered by @LightningAI for quick, clean and elegant model training along with @weights_biases logging! kaggle.com/code/heyytanay…
We train Transformers to encode algorithms in their weights, such as sorting, counting, and balancing parentheses from lots of data. I never thought we may also go in the *reverse* direction: *compile* Transformer weights directly from explicit code! Cool paper @DeepMind: 1/🧵
I wrote the most naive CUDA matrix multiply and iteratively optimised it to ~80% of cuBLAS performance: siboehm.com/articles/22/CU…
Are you wondering how large language models like ChatGPT and InstructGPT actually work? One of the secret ingredients is RLHF - Reinforcement Learning from Human Feedback. Let's dive into how RLHF works in 8 tweets!
No Dr. I didn't "google my symptoms". I had a chat with an LLM
I know you all can't wait to fine-tune your LLMs over the holiday break! We just added a template that gets you started. E.g., copy and paste the code from the website here to fine-tune a 3-billion param BLOOM model on a multi-node GPU cluster: lightning.ai
Very cool overview of a system that can turn plausible natural language inputs into SQL queries. Seq-to-seq formulations are just FTW! towardsdatascience.com/natural-langua…

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