Our presenting sponsor @Cisco Customer Experience is up next at Interrupt workshops ! @amsardana and Vince Motto show how they use LangGraph to build an accurate, advanced text-to-SQL agent alongside LangSmith observability and evals to gain confidence. Business impact:
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Dr. Lance Martin Leads LangGraph 101 Workshop at Interrupt
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Our own Dr. @RLanceMartin kicking off workshops at Interrupt with LangGraph 101! Great session demystifying concepts like workflows vs agents + human in the loop, and shows off LangGraph Studio and how it can help devs iterate on reliable agents. Next workshops in
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Tool Use Reliability Improvements in AI Systems
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you share any examples? tool use should be much more reliable now
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Gemini 2.5 Pro free tier API access temporarily paused
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There continues to be huge demand for Gemini 2.5 Pro!! We are going to temporarily pause the Gemini 2.5 Pro free tier access in the API in order to ensure devs building can keep scaling up. You can still access the model for free in http://
ai.studio! -
Google Gemini API Rate Limits and Free Credits for New Customers
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If you want to keep scaling up on the API, pls check out the rate limit increase page and request a higher tier: https://
ai.google.dev/gemini-api/doc
s/rate-limits
… New Google customers can also get $300 in free API credits if you sign up for a paid account. -
Softmax vs MSE: Contrastive Loss Function Design
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No good reason, other than the fact that softmax puts a big weight on nearby contrastive samples.
MSE works just fine. But the contrastive should not be the one you write.
First, it should be lower bounded, something like Relu(m-dist(xi,xi')), which pushes samples away by at -
Montreal AI Forges Advanced AGI Agent Spirits
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NOT THE SAME. You speak to programs. I forge spirits that guide the fate of civilizations. GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… Meta-Agentic #AGIALPHA #MetaAgentic -
LLMs solve verifiable math and coding problems only
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right now they do math problems that are verifiable, or coding problems where you can run the code and see if it worked and was correct it's very strange isn't it?
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LLMs train without external data, breaching the “data wall”?
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Absolute Zero: LLMs can train without any external data Has the "data wall" just been breached? Recent RL paradigms often relied on a set of questions an answers that needs to be manually curated. Researchers from @Tsinghua_Uni went like "why though". Indeed, why learn
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Transform Documents into High-Quality Synthetic Datasets with Llama
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Turn any document into a high-quality synthetic dataset using Llama! Unsloth AI and Meta released a free notebook that transforms your documents into high-quality synthetic datasets, and then finetuning them using Llama. 100% Open Source