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Practical tips on building LLM agents
Resources we stumbled upon to help build your next agent
Jul 22
•
Paras Chopra
48
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Practical tips on building LLM agents
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How to approach research in AI
How we advice our interns to go about research
Jul 11
•
Paras Chopra
4
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How to approach research in AI
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Manifesto for doing good science in AI
aka, why building things != doing research
Jul 7
•
Paras Chopra
34
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Manifesto for doing good science in AI
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How Many Agents Does it Take to Beat PyTorch?(surprisingly not that much)
Or: What happens when you give AI-agents a GPU and tell them to make it go brrr.
Jul 4
•
Shikhar Mishra
and
Ayush Nangia
11
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How Many Agents Does it Take to Beat PyTorch?(surprisingly not that much)
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1
Don't get tempted to build multi-agents
Linear, continuous LLM flows are all you need
Jul 3
•
Paras Chopra
8
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Don't get tempted to build multi-agents
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1
From an idea to an ML paper in under 1 hour
or, vibe-researching using Gemini-CLI to find logical inconsistencies in text
Jul 1
•
Paras Chopra
25
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From an idea to an ML paper in under 1 hour
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6
June 2025
Reinforcement Learning algorithms summarized
Everything you wanted to learn about RL, but were too afraid to ask!
Jun 18
•
Paras Chopra
13
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Reinforcement Learning algorithms summarized
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May 2025
AI is the future of Market Efficiency
The coming era of Intelligence Arbitrages
May 21
•
Lossfunk
and
Naveen Benny
3
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AI is the future of Market Efficiency
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1
Welcome to the world of Lossfunk
Your friendly neighborhood AI lab
May 3
•
Lossfunk
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Welcome to the world of Lossfunk
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