I’ve tried Langchain and ZapierNLA, any other suggestions?
CODE
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Generated Code Replacement and Program Decomposition Strategy
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Aha ok. As far as I know we are replacing the whole generated code, not parts of it. Decomposition of the program is one of our next steps, but I also think it’s much harder.
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Self-modifying AI agent code recursive implications
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No, I mean if the code of this agent/script is being recursively modified by itself?
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GPT Calls as Thoughts: Building Agents with Reflection and Memory
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1 GPT call is a bit like 1 thought. Stringing them together in loops creates agents that can perceive, think, and act, their goals defined in English in prompts. For feedback / learning, one path is to have a "reflect" phase that evaluates outcomes, saves rollouts to memory,
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Is AI Really Recursively Self-Improving Its Own Code?
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Is it really recursively self-improving? So not just generating code, but also modifying its own code?
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Agent AI Corrects Generated Programs Using Test Feedback
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By patching you mean how the agent corrects the generated program? We get the feedback from the tests and feed it back to LLM, to make an intelligent decision on what needs to get fixed.
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AI Development Acceleration: Major Changes Ahead for Software Engineering
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Take this from @Steve_Yegge (
https://
about.sourcegraph.com/blog/cheating-
is-all-you-need
…) and add this from @simonw (
https://
simonwillison.net/2023/Mar/27/ai
-enhanced-development/
…) and this from @peternixey (
https://
x.com/peternixey/sta
tus/1640002493630369792?s=20
…) and it's clear that something big is going to happen, and probably faster than we'd like, to AI and software development -
GoodAI Autonomous Agents Design Test Programs Autonomously
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In GoodAI, we are working on autonomous agents powered by LLMs. This is one of those projects where the agent gets an initial goal (to build a program) and then autonomously designs tests, runs them, and proposes corrections until the program works. Another use case for
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Training LLMs to Use Multiple LLMs as Tools
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– Toolformer showed you can train LLMs to use tools. – HuggingGPT showed that you can use LLMs as tools. Who wants to train an LLM that uses other LLMs that can use tools? Can 100+ small LLMs outperform #GPT4?
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Twitter Opens Recommendation Algorithm Source Code
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Open Source code for Twitter's Recommendation Algorithm
#AI #recommender #MachineLearning @Shi4Tech @JolaBurnett @NevilleGaunt @BetaMoroney @Fabriziobustama @labordeolivier @chboursin @TheAdityaPatro @AkwyZ @Khulood_Almani @FrRonconi @amalmerzouk https://
buff.ly/3MiiM4i