I’ve tried Langchain and ZapierNLA, any other suggestions?
INNOVATION
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AI Video Creation Engine Transforms Ideas Into Content
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Have content and ideas, but no video?
— Yohei (@yoheinakajima) 2 avril 2023
Head to this AI video creation engine! By default it uses existing media from across the web, but you can generate them on the fly as well.
Idea to video in 1 min🎥 https://t.co/z9cFbeIylVHave content and ideas, but no video? Head to this AI video creation engine! By default it uses existing media from across the web, but you can generate them on the fly as well. Idea to video in 1 min
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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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AutoGPTs Will Organize into Specialized Autonomous Organizations
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All of that is just one agent/thread. People coalesce into organizations so they can specialize and parallelize work towards shared goals. Imo this is likely to happen to AutoGPTs and for the same reasons, strung into AutoOrgs, with AutoCEO, AutoCFO, AutoICs, etc.
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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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AutoGPTs: The Next Frontier of Prompt Engineering and AI Systems
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Next frontier of prompt engineering imo: "AutoGPTs" . 1 GPT call is just like 1 instruction on a computer. They can be strung together into programs. Use prompt to define I/O device and tool specs, define the cognitive loop, page data in and out of context window, .run(). https://t.co/EKy84pa5bB
— Andrej Karpathy (@karpathy) 2 avril 2023Next frontier of prompt engineering imo: "AutoGPTs" . 1 GPT call is just like 1 instruction on a computer. They can be strung together into programs. Use prompt to define I/O device and tool specs, define the cognitive loop, page data in and out of context window, .run().
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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 -
AI Requires New Startup Building Paradigm and Approach
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I don’t agree! I think AI as a paradigm to build tech and products is very different than traditional software and requires an update on how we build and suggest to build startups