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Made With ML

@MadeWithML

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Learn how to responsibly develop, deploy & manage machine learning. Maintained by @GokuMohandas

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Joined May 2019
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@MadeWithML
Made With ML
8 months
RT @GokuMohandas: Excited to share our end-to-end LLM workflows guide that we’ve used to help our industry customers fine-tune and serve OS…
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@MadeWithML
Made With ML
1 year
RT @rauchg: An AI-generated clone of HN built with @nextjs App Router ◆ Uses PPR and streaming Node.js SSR ◆ Fully dynamic, fresh data from…
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@MadeWithML
Made With ML
1 year
RT @anyscalecompute: @rauchg Glad you're finding it useful! Check out our accompanying blog post and the evaluation experiments we ran comp…
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@MadeWithML
Made With ML
1 year
RT @rauchg: Very impressed with @anyscalecompute's endpoints, which support tools / function calling. 2LOC to play with Mixtral as a repl…
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@MadeWithML
Made With ML
1 year
RT @GokuMohandas: It's been nice to see small jumps in output quality in our RAG applications from chunking experiments, contextual preproc…
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@MadeWithML
Made With ML
1 year
RT @robertnishihara: The Llama Guard model is now available on Anyscale Endpoints. Get started here: Example: htt…
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@MadeWithML
Made With ML
1 year
RT @robertnishihara: One of the most common asks we get is for public (and reproducible) performance benchmarks. LLM inference performance…
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@MadeWithML
Made With ML
1 year
RT @bhutanisanyam1: The definitive guide to RAG in production! 🙏 @GokuMohandas walks us through implementing RAG from scratch, building a…
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@MadeWithML
Made With ML
1 year
RT @robertnishihara: We updated our production RAG application guide with a number of new sections: ☑️ When to fine-tune embeddings ☑️ When…
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@MadeWithML
Made With ML
1 year
RT @GokuMohandas: Added some new components (fine-tuning embeddings, lexical search, reranking, etc.) to our production guide for building…
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@MadeWithML
Made With ML
1 year
RT @adithyan_ai: I burned in🔥2000$ in finetuning so you don't have to. I fine-tuned models with @OpenAI and @anyscalecompute API endpoints…
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@MadeWithML
Made With ML
1 year
RT @MetaAI: Anyscale Endpoints enables AI application developers to easily swap closed models for the Llama 2 models — or use open models a…
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@MadeWithML
Made With ML
1 year
RT @raydistributed: The team @MetaAI has done a tremendous amount to move the field forward with the Llama models. We're thrilled to collab…
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@MadeWithML
Made With ML
1 year
RT @TheTuringPost: 3 free MLOps courses you should know about: ▪️ MLOps Course, @GokuMohandas ▪️ CS 329S: Machine Learning Systems Design…
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@MadeWithML
Made With ML
1 year
RT @llama_index: New LLM integration 🔥: @anyscalecompute endpoints allows any developer to easily run + finetune open-source LLMs through a…
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@MadeWithML
Made With ML
1 year
RT @NianticEng: Later this month, Niantic will present at Ray Summit 23 and our own @dreamingleo89 wrote about how we are using Ray to impr…
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@MadeWithML
Made With ML
1 year
RT @GokuMohandas: 🤔 A lot of people are wondering about the ROI on LLMs/GenAI. Can't imagine a better lineup to see it in action! 🚀
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@MadeWithML
Made With ML
1 year
RT @CyrusHakha: 🤔 Fine-tuning LLMs: LoRA or Full-Parameter? Which should you choose? Uncover the insights in our latest technical blog. 🔗…
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@MadeWithML
Made With ML
1 year
RT @bhutanisanyam1: High signal ML for developers guide! 🙏 Building Machine Learning Applications in real world involves a lot of moving p…
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@MadeWithML
Made With ML
1 year
RT @GokuMohandas: 📊 A very comprehensive summarization factual accuracy / cost analysis with Llama-2 and ChatGPT models by @waleedk and the…
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