That’s incredible. Can you get it to check its work? I wonder how good self reflection will be.
AGENTS
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Thermostats Control Without Mental States: AI Ethics
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Thermostats implement control without mental states.
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Levels of Lucidity: Building on Kegan’s Framework
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I did not read Wilber, I started from Kegan and rebuilt the idea to accommodate my observations. Here is a summary https://
joscha.substack.com/p/levels-of-lu
cidity
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Enhancing If-Statements Through LLM Prompt Classification With Ollama
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Supercharging If-Statements With Prompt Classification Using Ollama and LangChain Lumos is an LLM co-pilot for browsing the web, powered by local LLMs There are a lot of small architectural decisions made that contain a ton of nuance, and so we're super excited to post
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DataLLM Generates Insights From All Your Data Sources
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The #GenerativeAI DataLLM from @abacusai uses #LLMs to generate insights from all your data sources! You pose questions about your data to the #chatbot — the #AI agent then generates code, runs queries, understands results, & presents answers. See
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HyperWrite Agent Studio Launches This Week with Task Automation
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The @HyperWriteAI Agent Studio will be shipping this week!
— Matt Shumer (@mattshumer_) 19 février 2024
The first **actually useful** AI agent system.
Show the AI how to do a repetitive task once, and it’ll do it for you every time thereafter. pic.twitter.com/0DjMudGtAuThe @HyperWriteAI Agent Studio will be shipping this week! The first **actually useful** AI agent system. Show the AI how to do a repetitive task once, and it’ll do it for you every time thereafter.
→ View original post on X — @hyperwriteai, 2024-02-19 02:55 UTC
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LLMCompiler: Fast Parallel Agent Task Execution with LangGraph
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LLMCompiler: blazing-fast agent execution Plan tasks as a DAG.
Stream parallelized task execution (while the planner is still thinking!)
Respond or replan. Build it for yourself in LangGraph! Python: https://
github.com/langchain-ai/l
anggraph/blob/main/examples/llm-compiler/LLMCompiler.ipynb
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Youtube: https://
youtu.be/uRya4zRrRx4?fe
ature=shared&t=1183
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Conversational AI Development: Three Key Challenges Solutions
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3 Crucial Challenges in Conversational AI Development and How to Avoid Them: Developing a conversational AI chatbot requires substantial effort. However, understanding and addressing key challenges in natural language understanding can streamline the… https://
kdnuggets.com/3-crucial-chal
lenges-in-conversational-ai-development-and-how-to-avoid-them?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=3-crucial-challenges-in-conversational-ai-development-and-how-to-avoid-them
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GPT-4-Vision Playing Super Mario 64 with Multimodal Gamer
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Can GPT-4-Vision Play Super Mario 64?
— Josh (@josh_bickett) 18 février 2024
I created 'Multimodal Gamer,' a framework enabling multi-modal models (combining text and visual inputs) to play games.
Check out my video overview below and let me know your thoughts! pic.twitter.com/E35hKQGdqmCan GPT-4-Vision Play Super Mario 64? I created 'Multimodal Gamer,' a framework enabling multi-modal models (combining text and visual inputs) to play games. Check out my video overview below and let me know your thoughts!
→ View original post on X — @hyperwriteai, 2024-02-18 21:37 UTC