My favourite LLM paper is finally open source! 🙏
Running a single Large Language Model agent is easy
Running multiple is hard
Running multiple over days of sustained interactions is really hard
I’ve spent the last 3 days reading through the code of the paper that solved… Show more
My favourite LLM paper is finally open source! 🙏 Running a single Large Language Model agent is easy Running multiple is hard Running multiple over days of sustained interactions is really hard I’ve spent the last 3 days reading through the code of the paper that solved… Show more
I built my first AI NPC teammates and here’s what I learnt
interconnected.orgSarah Drinkwater and added
After working with LLMs for 2 years, I’ve noticed that humans have very different short-term context windows too.
Humans with small-to-mid sized context windows develop deep “breakdown” strategies early in life to deal with virtually everything. Ways of breaking down complex problems into smaller steps that can be chained. Their brains contain an ... See more
muizz added
Parallels between the how we think and how we get llms to mimic thinking
From chatbot to agent-coworker
What could ambitious unhobbling over the coming years look like? The way I think about it, there are three key ingredients:
1. Solving the “onboarding problem”
GPT-4 has the raw smarts to do a decent chunk of many people’s jobs, but it’s sort of like a smart new hire that just showed up 5 minutes ago: it doesn’t have a... See more
What could ambitious unhobbling over the coming years look like? The way I think about it, there are three key ingredients:
1. Solving the “onboarding problem”
GPT-4 has the raw smarts to do a decent chunk of many people’s jobs, but it’s sort of like a smart new hire that just showed up 5 minutes ago: it doesn’t have a... See more
SITUATIONAL AWARENESS - The Decade Ahead • I. From GPT-4 to AGI: Counting the OOMs
Max Beauroyre added
memary: Open-Source Longterm Memory for Autonomous Agents
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve relevan... See more
memary demo
Why use memary?
Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve relevan... See more
GitHub - kingjulio8238/memary: Longterm Memory for Autonomous Agents.
Nicolay Gerold added
Data
Lucas Kohorst and added
Darren LI and added