LLM Powered Autonomous Agents https://
bit.ly/3OnKxbj #AI #MachineLearning #DeepLearning #LLMs #DataScience
LLMS
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LLM Powered Autonomous Agents Technology Overview
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MLflow AI Gateway enables scalable LLM management preview
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Introducing the #MLflow #AI Gateway! Now in preview, this highly-scalable gateway that enables organizations to manage their LLMs and make them available for experimentation + production use cases. Learn more! https://
bit.ly/3KeIiG9 -
QA Bot Streaming with FastAPI and LangChain
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This is a great example code snippet for creating a QA bot that streams via FastAPI The LangChain Expression Language makes this much simpler than before (more accurately, the standard streaming interface that all LCEL object have makes this simpler)
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Need Multimodal ChatGPT and Bard for Screenshot Analysis
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We need multimodal ChatGPT or Bard so we can copy-paste the screenshot and ask
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AdaTape: Adaptive Transformer Model with Dynamic Token Sequences
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Introducing a new adaptive computation model, AdaTape. With a Transformer-based architecture and a dynamic set of tokens to create elastic input sequences, AdaTape is simple to implement, flexible, and more efficient compared to other adaptive baselines → https://
goo.gle/3s9xe6H -
Text Splitters: Nuanced AI Component Deserving More Discussion
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hopefully this also inspires folks to add new text splitters! imo one of the most nuanced and interesting pieces, yet less discussed
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Text Splitting Playground Open Source for LLM Applications
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Text Splitting Playground Chunking text into appropriate splits is seemingly trivial yet very nuanced Open sourcing a playground to help explore different text splitting strategies GitHub: https://
github.com/langchain-ai/t
ext-split-explorer
… Hosted Playground: https://
share.streamlit.io/app/langchain-
text-splitter/
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H2O.ai Booth Showcases h2oGPT and LLM Studio at AI4
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Standing room only at the #H2O.ai booth at #ai4! Lots of excitement around our open source h2oGPT and LLM Studio demos. Stop by and see us! #h2oGPT #LLM #ai42023 #generativeAI
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Fine-tuning Your Own Model Guide Released
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Check out the blog post to learn more about fine-tuning your own model. Happy hacking!
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Groq Achieves 100 Tokens Per Second Performance on Llama2
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100 Tokens per second per user on #Llama2 from @MetaAI! This ultra-low latency performance could have a massive impact on workloads using #LLMs for everyone from artists to analysts, programmers to educators, all #GenAI and beyond. Book your demo to learn more: contact@groq.com pic.twitter.com/VWcSqPRm18
— Groq Inc (@GroqInc) 8 août 2023100 Tokens per second per user on #Llama2 from @MetaAI
! This ultra-low latency performance could have a massive impact on workloads using #LLMs for everyone from artists to analysts, programmers to educators, all #GenAI and beyond. Book your demo to learn more: contact@groq.com