Want to learn how to scale LLM apps? Very few companies have achieved serious scale. Character AI is one of them I'll be chatting with James Groeneveld (an eng leader) about what that looks like & lessons learned Come join! https://
lu.ma/rujejluk
@hwchase17
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Scaling LLM Apps: Lessons from Character AI Leadership
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Deep Dive Into Browser Agents with Airtop
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Want an in-depth look into browser agents? Check out our deep dive with Airtop
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OpenAI’s Push for AI Technology Standards
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i would bet openai wanted to make it a standard as well
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OpenAI plugins manifests comparison and evolution
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@simonw why is this diff from what openai tried to do with their plugins/manifests?
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OpenAI manifest files enable local system integration via plugins
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i dont think openai had a desktop at the time, but you could put anything you wanted behind their manifest files, eg https://
openai.com/index/chatgpt-
plugins/#browsing
… to connect to local retrieval systems -
Anthropic’s Plugin System: How It Compares to OpenAI
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Is this just Anthropic's version of what OpenAI did with ai-plugin.json and plug-ins a while back? Or am I missing something?
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LLM Classification Methods: Accuracy and Judge-Based Evaluation
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sry thanks for following up! for classification: id do accuracy, that should be pretty straightforward. if that doesnt work would be curious to hear more! second is harder, but id use LLM-as-a-judge. you can define either a ground truth example to compare with, or just
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Defining Control Flow in LLM-Based Systems
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In my mind, “decide the control flow” = “if statements based on the outcome of an LLM” Agree it’s a tough definition
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Share Your Code: Community Contributions Welcome
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Any code to share? Would love to see and share!
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Memory Implementation in AI Systems: Few-shot vs Prompt Updating
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Super interesting. What does memory look like? Few shot examples or updating prompt?