Prompt Engineering Guide (1.1K) This new guide helps you find the latest & greatest information regarding prompt engineering. More references were added. Lecture + notebook coming soon! https://
github.com/dair-ai/Prompt
-Engineering-Guide
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LLMS
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Comprehensive Prompt Engineering Guide with References
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LangChain OutputParsers: Formatting LLM Outputs and Error Handling
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its under documented, but checkout things like our OutputParsers – https://
github.com/hwchase17/lang
chain/blob/3e55f1474e5ad13f90c233b7f85480e996765e71/langchain/prompts/base.py#L67
… they can parse an LLM output into a specific format. however, it is an open question about what to do if format is not expected… retry? -
Inferring Context Size from Model Parameters
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oh. then i was a bit misled by the landing page infer the context size from the model. theres not that many to do and you make it a bit more magical
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Strategies for Overcoming Context Length Limitations in Language Models
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interesting. how do you get around context length limits? do you use langchain? (which just kinda kicks the can down the road)
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DeepMind CEO hints at 2023 Sparrow beta release citing sources
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CEO of Google's DeepMind @demishassabis hinted today at a 2023 private beta release of "Sparrow" (DeepMind's version of ChatGPT) that will be capable of citing sources for its responses.
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GPT-4 capabilities and Microsoft’s AI strategy revealed
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Some VCs and Microsoft employees have already seen GPT-4. It could be text only, like ChatGPT. Or it could include images. OpenAI has not decided which to release, @KYWeise and I report in our piece on Microsoft's return to the center of the tech universe:
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Abacus AI Launches Foundation Models for Language Vision Speech
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You can now integrate generative models into your system using Abacus AI! We have m foundational models: language, vision, and speech. You can fine-tune them and start using them right away! https://
abacus.ai/foundation_mod
els
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Collaborative Research on LLM Misuse and Mitigation Strategies
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Collaborative research on LLM misuse & mitigation. Like for any new technology, important to maximize the upsides and mitigate the downsides:
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Anticipation for Large Model with Cost and Speed Concerns
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Yep, it's gonna be huge. Hope the model isn't so big that the processing isn't too cost-prohibitive or slow