more performance improvements, this time to langgraph platform
TOOLS
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Cohere Releases Command A: Enterprise AI for Agentic Tasks
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We’re redefining what’s possible with AI.
— Cohere (@cohere) 27 mars 2025
With the release of our latest model, Command A, optimized for real-world agentic and multilingual tasks, we’re demonstrating our commitment to bringing enterprises AI that goes beyond the ordinary, and offers security & efficiency.… pic.twitter.com/vhz1gyHLmbWe’re redefining what’s possible with AI. With the release of our latest model, Command A, optimized for real-world agentic and multilingual tasks, we’re demonstrating our commitment to bringing enterprises AI that goes beyond the ordinary, and offers security & efficiency.
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Keras Neural Network Library Celebrates Ten Year Anniversary
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Happy birthday to Keras, the open-source neural-network library, which was launched 10 years ago today. It's now one of the world’s ten most-used software tools: https://
github.com/keras-team/ker
as
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Free MATLAB Onramp Course Teaches Programming Basics
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Check out MATLAB Onramp, a free course that will teach you the basics of MATLAB:
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Gaurav Misra: Design Engineer Pioneer Launching Captions App
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Gaurav Misra (@gmharhar) was an early employee at @Snap where he pioneered the 'design engineer' function, was an engineer at @Microsoft and a couple of other startups, and most recently is the co-founder and CEO of @getcaptionsapp, one of the most successful, cutting-edge,… pic.twitter.com/LAzJzUPw4S
— Lenny Rachitsky (@lennysan) 27 mars 2025Gaurav Misra (
@gmharhar
) was an early employee at @Snap where he pioneered the 'design engineer' function, was an engineer at @Microsoft and a couple of other startups, and most recently is the co-founder and CEO of @getcaptionsapp
, one of the most successful, cutting-edge, -
Integrating LangGraph with Voice Agents: Complete Guide
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Want to make langgraph work with voice agents? Here’s how you can easily do so!!!!
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Blueprint to Cut LLM Costs by 88 Percent
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Our blueprint to cut LLM costs by 88%: https://
decodingml.substack.com/p/our-blueprin
t-to-cut-llm-costs-by
… The advanced RAG course (use code paul_15 for 15% off): -
Cost-Effective Fine-Tuning of GPT-4o Mini Models
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2. Fine-Tuning a Cost-Effective Model: Instead of deploying a full-scale GPT-4o (costing ~$1,500/month handling 10k queries monthly), we fine-tuned a smaller, more efficient GPT-4o Mini. By using OpenAI’s managed fine-tuning on a curated dataset of 100 Q&A pairs (with 30 for
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Fine-tuned GPT-4o Mini cuts costs by 88%
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This fine-tuned GPT-4o Mini runs at just ~$180/month—saving us $1,320 monthly- and has comparable results to the original model. Want to dive deeper? Rerad the full article and check out the “From Beginner to Advanced LLM Developer Course” with 50+ hours of content—and grab a
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RAG Fine-tuning Hybrid Reduces AI Tutor Costs by 88%
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Excited to share insights from our recent (first ever) guest post on Decoding ML by @iusztinpaul ! We wrote about how a proper RAG + fine-tuning (hybrid) setup can reduce expenses by 88% on our own AI tutor :