Friday viewing: "Advanced Retrieval" Webinar I had a great time discussing: – Importance of preprocessing @mrobinson0623 of @UnstructuredIO – Different retrieval methods to power RAG applications
– What lies beyond simple RAG? @atroyn of @trychroma
LLMS
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Advanced Retrieval Methods for RAG Applications
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Best Generative AI Models: Comparative Evaluation Guide
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Who is the best? Evaluating different types of generative AI models By @ingliguori https://
bit.ly/3pviApD #chatgpt #bard #cloudeai #chatgpt4 #llms #generativeai #AI #artificialintelligence #machinelearning #mlops #modelops -
Stability AI Launches Stable Chat for LLM Safety Evaluation
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We are excited to announce our Stable Chat website that enables AI safety researchers and enthusiasts to interactively evaluate our best LLMs’ responses and to provide safety and usefulness feedback #StabilityAI #StableChat Read more → https://
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Excitement for Efficient LLM Fine-tuning Research Methods
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I am really excited for the research community to develop (more) efficient methods for finetuning LLMs.
And I hope you find this competition as useful and exciting as I do! Link to the competition here: -
NeurIPS 2023 LLM Efficiency Challenge Starter Guide Released
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The NeurIPS 2023 LLM Efficiency Challenge is a super exciting opportunity for developing & benchmarking new research directions for param-efficient LLMs. If you are looking for something to tinker with this weekend, I just put together a Starter Guide: https://
lightning.ai/pages/communit
y/tutorial/neurips2023-llm-efficiency-guide/
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AGI likely to have fewer parameters than GPT-4
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AGI will likely have fewer parameters than GPT-4.
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Datadog Improves Performance of Language Models
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How @datadoghq wants to improve LLM performance https://actuia.com/actualite/comment-datadog-veut-ameliorer-les-performances-des-llm/
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Making AMD GPUs Competitive for LLM Inference with ROCm
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Making AMD GPUs competitive for LLM inference Worried about NVIDIA GPU shortage? This project aims to makes it possible to compile LLMs and deploy them on AMD GPUs using ROCm and get competitive performance. Article: https://
blog.mlc.ai/2023/08/09/Mak
ing-AMD-GPUs-competitive-for-LLM-inference
… Discussion: https://
reddit.com/r/MachineLearn
ing/comments/15ml8n0/project_making_amd_gpus_competitive_for_llm/
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ChatGPT summaries and answers are unreliable sources
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Clarification: This is not about "Look at this example case of this AI thing we're talking about" but "I asked ChatGPT to summarize…" or "I asked ChatGPT that question…" or "I asked ChatGPT who was right…" etc. They aren't reliable and I don't want to spend time fighting
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Warning: Posting Unchecked LLM Outputs Will Result in Being Blocked
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Be advised: I consider posting LLM outputs (eg ChatGPT) to my timeline to be a blockable offense. (Especially if it's about factual questions, and you did not personally check every supposed fact in the LLM's dreaming output before posting it. But also in general.)