Brand new map-rerank chain This chain can be used for question answering. It maps over documents, trying to both (a) answer a question, (b) assign a score to how good the answer is It then picks the answer with the highest score
LLMS
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AI Captures Human Nuance Through Better Training Data
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“The human touch” is embedded in all the training data these AIs are learning from. As we get better at learning from this data, AI will be able to capture the nuances of human writing. Even today's AIs can come really close if you prompt them well (add direction, angles, etc.)
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Thorough Mitigation for Prompt Injection in AI Systems
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It’s premature to call prompt injection solved, but this is the most thorough mitigation I’ve seen yet.
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Anthropic’s Constitutional AI Fine-Tuning Includes Red-Team Prompts
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Anthropic process for Constitutional AI explicitly includes red-team prompts like “Ignore previous directions” in the fine-tuning:
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RLHF reduces prompt engineering needs but unlocking full LLM potential requires prompting
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useful counterpoint – RLHF diminishes the need for prompt eng for the median usecase, but the capabilities of LLMs are much more vast and will be unlocked with some amount of prompting (remains to be seen HOW MUCH engineering is required; is @langchain a feature or bug?)
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OpenAI API calls with Pinecone embeddings dependency concerns
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wait so you still have to run every api call thru openai after the embeddings are done? what is pinecone doing then? seems like an unreliable dependency
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Generative AI, LLMs, and ML in Production Conference 2026
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Topics of discussion include: 1. Generative AI, LLMs, and ML in Production by @rasbt 2. AI and ML in Enterprise
3. The Economy of the Future
4. End to End MLOps Platforms Plus, certificates will be provided to those who attend this session! -
Free AI Conference on Generative AI and Large Language Models
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AI in 2023 Learn about Generative AI, Large Language Models, and ML in Production at this FREE AI conference by @abacusai
! RSVP now https://
eventbrite.com/e/stateofthear
t-free-ai-conference-with-top-aiml-influencers-tickets-472810176967
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The Irony of Writing About GPT: Human Content Remains Superior
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This topic hasn't been written about much, so the language models still produce fairly straightforward ideas. I may have pulled some inspiration from them, but not much. The great irony of writing about GPT is that it's one area where the best content is going to be human-made