The latest module from Cohere's LLM University, on Tool Use, is here! Explore how multi-step tool use enables complex task automations that require interaction with external systems. Build assistants that can plan, reason, and perform tool calls in a sequence.
PROMPT ENGINEERING
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What is Prompt Optimization for Large Language Models
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What is prompt optimization? – http://
jxnl.co https://
bit.ly/3W0s9Jb #AI #MachineLearning #DeepLearning #LLMs #DataScience -
ChatGPT Usage Limits Challenge: Patient Prompting Strategy
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Thanks! I used ChatGPT with a lot of patience and prompting. I also gave up because of the new rate limits.
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Using AI for Enriched Writing and Prompt-Based Research
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Mainly for writing so it can enrich given context with info from search results and apply certain writing rules like 5whys etc
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Text-to-SQL Survey: LLM Techniques and Benchmarks
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7/ Text-to-SQL Survey – provides a survey on employing LLMs for Text-to-SQL tasks, including prompt engineering techniques, fine-tuning methods, benchmarks, and more.
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Teaching LLM Agents to Self-Improve Through Iterative Feedback
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6/ Teaching LLM Agents to Self-Improve – claims it is possible to iteratively fine-tune LLMs with the ability to improve their own response over multiple turns with additional environment feedback; the LLM learns to detect and correct its previous mistakes in subsequent
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RAG vs Long-Context LLMs: Self-Route Strategy
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3/ RAG vs. Long-Context LLMs – compares RAG and long-context LLMs and finds that long-context LLMs outperform RAG on average performance while RAG is significantly less expensive; proposes Self-Route, leveraging self-reflection to route queries to RAG or LC; reports that
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Good Instruction Following Test with Temperature 1.0 Sampling
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Actually a pretty good instruction following test. Ideally I’d run 10 samples/model with temperature 1.0 and all other bells and whistles (topp/k) off.
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Interactive LLM Decoding Strategies and Sampling Effects
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Interactive LLM decoding strategies LLM sampling is a cool app that shows the effect of temperature, top K sampling, top P sampling, etc. on the probability distribution outputted by an LLM. LLM sampling: https://
artefact2.github.io/llm-sampling/i
ndex.xhtml
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OpenAI’s SearchGPT vs Perplexity AI
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OpenAI introduced SearchGPT.
— God of Prompt (@godofprompt) 26 juillet 2024
It's like Perplexity AI but more powerful.
Here's everything you need to know a minute: pic.twitter.com/LNGs0n8CwOOpenAI introduced SearchGPT. It's like Perplexity AI but more powerful. Here's everything you need to know a minute: