See also this post, where I talk about how LLM-assistance has lowered the barrier to entry for me on all sorts of other things (like using AppleScript) such that I now take on more ambitious projects
LLMS
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Technical Deep Dive on Latest Fine-tuning Optimizations and Techniques
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Don't miss our technical deep dive on the latest #finetuning optimizations and techniques. Save your spot to learn: Latest fine-tuning #optimization techniques Metric driven analysis of each optimization How to get started on your own https://
pbase.ai/44wAMix -
Vectara Platform Addresses GenAI Hallucinations and Copyright Issues
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Great visit to @Vectara for discussion with @awadallah and team. They have built a great platform for GenAI for developers that enables mitigation of all the issues you see in common models (Mitigating Hallucinations and Copyright Concerns, Minimizing Bias, Enhancing
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Data-efficient robustness improvement for foundation models
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Exciting work from our academic collaborators! Foundation models often struggle out of the box—and @dyhadila & collaborators propose a new data-efficient way to make them robust!
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Galore optimization technique enhances model robustness
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Our intuition is Galore could also help make it more robust @jiawzhao
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Galore Low-Rank Pretraining Impact on Model Training
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Have you explored how this would be affected by low-rank pretraining approaches such as Galore? https://
arxiv.org/abs/2403.03507 -
Need for Closed LLM Evaluations and Unknown Benchmarks
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Totally agree. I was just talking recently about the need for closed evaluations and unknown benchmarks. Some kind of LLM comparison tests that can't so easily be gamed.
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Enterprise AI Observability and Open-Source LLM Hosting Launch
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ICYMI: We launched new cross-environment AI observability with enterprise-grade open-source LLM hosting — available across all AI assets and environments. Not able to join live? Check out the on-demand recording from our virtual launch event with @decisionleader and @nvidia
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Text transformation and summarization over generative AI focus
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Yeah, I think the "generative" piece is somewhat distracting – for me the most interesting applications are mostly related to transformation – feeding in a larger amount of text and having it answer questions based on that, restructure it, summarize it etc
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Using LLMs to Solve Coding Problems Quickly
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This one is a particularly good illustration of working in conjunction with an LLM to very quickly solve a small but interesting coding problem https://
simonwillison.net/2024/Mar/22/cl
aude-and-chatgpt-case-study/
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