Nice work putting AI primers/guides together, @i_amanchadha
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PROMPT ENGINEERING
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Appreciation for AI Primers and Guides
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New Memory Type for Agent Tool Invocation Results
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We've also added a new type of memory This type of memory allows for using the results of previous tool invocations in future agent interactions This means if you ask a follow up question, you don't have to do retrieval all over again
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Building GPT-Based Universal Data Adapter Solutions
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Has anyone built/trying to build a GPT based universal data adapter? Including prompting additional info from the user if need be?
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Seven Key Patterns for Building LLM-Based Systems
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A very good blog post by @eugeneyan on “Patterns for building LLM based systems and products”. He covers the seven key patterns to build LLM based systems in greater detail. Link: https://
eugeneyan.com/writing/llm-pa
tterns/
… Must read for folks looking to build LLM based features / products -
GPT-4 Chat in Edge: Analyzing Papers Effectively
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Using Edge’s GPT-4 chat function to ask questions about papers is such an underrated super power
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Training Personal Email Assistant with Conversation Variety
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That’s a good point. Yeah if there is sufficient variety in the conversations, I can see how one can train a personal email assistant that way.
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Teaching LLMs to Use Tools via Documentation Instead of Demonstrations
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Using tool documentation rather than demonstrations to teach LLMs how to use new tools and APIs Potential ideas: • Simplifies deploying new APIs and tools for AI assistants by just providing documentation. • Enables businesses to leverage cutting edge AI innovations as soon
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Summary of LLM-based Systems Building Patterns
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quick summary of @eugeneyan
's epic post on "Patterns for Building LLM-based Systems" -
LLM Patterns: Essential Design Patterns for Large Language Models
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https://
eugeneyan.com/writing/llm-pa
tterns/
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Prompt Templates and LLM Integration Basics
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Prompt Template + LLM Starting with the most basic, a simple combination of a prompt template + a call to an LLM `prompt | llm`