thakurrajanand @thakurrajanand
Head of Data - Alraedah Finance | past @SnorkelAI @DataRobot @AmericanExpress Dubai, United Arab Emirates Joined February 2013-
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Awesome new project: MLX Transformers from @j___y_t Runs a subset of 🤗 Transformers in MLX. No conversions needed, downloads directly from the hub. Code: github.com/ToluClassics/m… Install: pip install mlx-transformers Example:
RWKV-5 World v2 - The best multilingual & code 1.5B language model is here🙂Online Demo: huggingface.co/spaces/BlinkDL… 100% RNN & attention-free. 3B & 7B coming soon.
This is good thread on where we are as an industry with LLMs. I can tell you from experience that enterprises absolutely want high levels of customization. Databricks + MosaicML enables this path from raw data -> filtering/ETL -> building models -> serving models
This is good thread on where we are as an industry with LLMs. I can tell you from experience that enterprises absolutely want high levels of customization. Databricks + MosaicML enables this path from raw data -> filtering/ETL -> building models -> serving models
The ChatGPT hype cycle: - Stage 1: "GPT-X is out-of-the-box magic!" - Stage 2: "We need to use our data" (where we are now) - Stage 3: "We need to develop our data" From 2 -> 3, enterprises will realize not enough to just dump in a data lake... use case-specific dev is key!👇🧵
Announcing something I've wanted to do for years A Decision Optimization course with @weights_biases covering both simple & sophisticated techniques to help data scientists and ML engineers make their existing skills far more valuable wandb.courses/courses/decisi… The backstory 👇
Check out the curation model for automatic prompt/response filtering, tuned RPJ-7B chat model, and method details from the team @SnorkelAI! Data quality is the key to effective instruction tuning- and it can be done programmatically, for faster and better results.
Check out the curation model for automatic prompt/response filtering, tuned RPJ-7B chat model, and method details from the team @SnorkelAI! Data quality is the key to effective instruction tuning- and it can be done programmatically, for faster and better results.
Pinecone giveaway! 🎁 We're giving away top-quality Marine Layer hoodies to 3 people who: 1. Follow @pinecone AND 2. Retweet this tweet Winners will be announced on June 2nd!
The production quality and care that @rasbt has put into his courses and writing are next level. His materials are becoming one of my favorite ML resources. His newsletter is especially great magazine.sebastianraschka.com
1/ Prediction: Everyone will soon be using foundation models (FMs) like GPT-4. However, they'll be using FMs trained on their own data & workloads: "GPT-You", not GPT-X Tl/dr: - Closed APIs aren't defensible - The durable moat is data - The last mile generates the real value
Are you ready to master MLOps in practice? Learn about putting your ML in production in a free 6-week course! From experiment tracking and model management to model deployment to best practices and more! 👉🏼 github.com/DataTalksClub/…
I won the forecasting part of the M6 competition danielweitzenfeld.github.io/passtheroc/pos… #pymc
We are hiring 🎉 At @peerlisthq, we are looking for a React Native developer. It's an in-office, full-time-only position for the Pune location. Apply link and more details 👇 Retweet for good Karma 😉 peerlist.io/company/peerli…
Very excited that @SnorkelAI and @googlecloud are partnering to solve the training data dev bottleneck for enterprise AI! Optimize #dataCentricAI workflows across Google AI and Data Cloud w/ seamless access in Snorkel Flow via a new #bigquery integration: cloud.google.com/blog/products/…
1/ In classical ML, development was "model-centric" (tuning/editing your model). As deep learning models emerged, "data-centric" dev (labeling/curating your data) became increasingly important. In the foundation model era: data-centric is the *only* viable type of development.
1/ ‘22 was a big year for @SnorkelAI! We - Introduced new foundation model & data-centric AI paradigms - More than tripled our customer base, incl. 5/10 top US banks + top-10 in 7 other industries, accelerating their AI dev by 10-100x+ - Welcomed 40 new Snorkelers And much more!
1/ 2023 AI prediction: the gap between generative and predictive AI will widen. Despite product & business model innovation in generative AI, real-world ROI will remain concentrated around predictive AI- leading to frustrated expectations. This gap will all come down to data...
Today, youChat goes live. Open, broadly capable, conversational AI for search with knowledge of recent events and citations of sources. Search and chat of the future: you.com/search?q=what+…
1/ Want to become a web3 dev? What if we told you we’re releasing the ultimate web3 learning platform… for free? Chainshot recently joined Alchemy & together we’ve built something new. Buckle up frens, Alchemy University is here! A 🧵 on the future of web3 education
❄️ Christmas is Coming! ❄️ We're giving away 20 Early Access passes to Alchemy University! Do the following to enter: - Like and comment on this tweet - Retweet for an extra entry - Follow / Open DMs so we can DM you! Good luck to everyone that enters! 🎉
In the process of building a guide for prompt engineering, I came across this great website called Learn Prompting: learnprompting.org... Contains a nice overview of prompt engineering, categorized neatly by topics. Lots of great references too!
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25K Followers 293 Following Launched the Fluence Cloudless computing platform. Fluence mainnet is live 👀(1/3) 🎉 Exciting News: Our WangLab team has won first place in the 2024 MEDIQA Clinical NLP competitions for the second consecutive year! 🥇🥇 This year, MEDIQA 2024 has two tracks: 1) Medical Error Detection & Correction; 2) Multilingual & Multimodal Medical Answer…
Over the last two months, we've added more and more blocks: We now have over 250 blocks in total, helping you to ship apps even faster! 🥳 blocks.tremor.so
Video lectures, METU CENG 465 Introduction to Bioinformatics spring 2020, by Tolga Can youtube.com/playlist?list=…
We ranked 4th out of > 2000 teams in PII Data Detection competition hosted by Kaggle. Thank you to my rock star team 🤩 Solution with - PyTorch, HuggingFace Transformers, LLama3 70B Instruct, vLLM, Neptune.ai, Optuna and Spacy kaggle.com/competitions/p…
Build your MoE with LLaMa3 models - A very nice tool `mergoo` You can easily build your own MoE-style architecture with LLaMa3 fine-tuned models on Huggingface hub 🤗 * Supports several merging methods: Mixture-of-Experts, Mixture-of-Adapters, and Layer-wise merging * Flexible…
Phi-3 in MLX thanks to @Prince_Canuma pip install -U mlx-lm Pre-converted models in the 🤗 MLX community: huggingface.co/mlx-community 4-bit runs quite nicely on a 8GB M2 Mini, generating 512 tokens at 30+ toks/sec:
Nearly 50 tokens/s ⚡️
Llava-1.5-7B-4bit now on MLX 🚀 You can run inference locally on your Mac. > pip install -U mlx-vlm Model card 👇🏾
kyrylai.com/2024/04/21/how… great, detailed article by @truskovskiy on setting up an LLM fine-tuning pipeline
One of the big questions about @huggingface accelerate during distributed @PyTorch training is how do you optimize your DataLoaders to make use of your multiple GPUs. Happy to share this all with you via another wonderful animated tutorial! youtube.com/watch?v=9Vfauv…
I've written up my study group lectures on implementing Transformers in PyTorch into a blog series: Creating Transformers from Scratch: - Part 1: The Attention Mechanism benjaminwarner.dev/2023/07/01/att… - Part 2: The Rest of the Transformer benjaminwarner.dev/2023/07/28/res…
phi-3-mini: 3.8B model matching Mixtral 8x7B and GPT-3.5 Plus a 7B model that matches Llama 3 8B in many benchmarks. Plus a 14B model. arxiv.org/abs/2404.14219
MLX-VLM Best in class Vision LLM running on M3 Max going brrr 🚀
Awesome new project: MLX Transformers from @j___y_t Runs a subset of 🤗 Transformers in MLX. No conversions needed, downloads directly from the hub. Code: github.com/ToluClassics/m… Install: pip install mlx-transformers Example:
@mattshumer_ @GroqInc ugh kids these days! back in my days we used to watch the tokens stream one at a time and wait for the output.
There is a special place in hell for those who claim their parents are sick just to move to a better-paying job. Just tell the truth man. We all are professionals.
Last week, we released a CodeQwen1.5 and received a lot of positive feedback! Thank you for your support! ❤️ We believe CodeQwen1.5 will become your best local code assistant, supporting 92 languages, with a context length of 64k, excellent code completion, code generation, bug…
DocOwl 1.5 is the state-of-the-art document understanding model by Alibaba with Apache 2.0 license 😍📝 time to dive in and learn more 🧶
They train the model various downstream tasks including: - document understanding (DUE benchmark and more) - table parsing (TURL, PubTabNet) - chart parsing (PlotQA and more) - image parsing (OCR-CC) - text localization (DocVQA and more)
Next level: QLoRA fine-tuning 4-bit Llama 3 8B on iPhone 15 pro. Incoming (Q)LoRA MLX Swift example by David Koski: github.com/ml-explore/mlx… works with lot's of models (Mistral, Gemma, Phi-2, etc)
I cannot believe this 😂 I might try it later 🔥
Next level: QLoRA fine-tuning 4-bit Llama 3 8B on iPhone 15 pro. Incoming (Q)LoRA MLX Swift example by David Koski: github.com/ml-explore/mlx… works with lot's of models (Mistral, Gemma, Phi-2, etc)