10x your prompting skills with my prompt engineering guide → Mini-course
→ Free resources
→ Tips & tricks Grab it while it's free ↓ https://
godofprompt.ai/prompt-enginee
ring-guide
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LLMS
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Free prompt engineering guide: mini-course, resources, tips & tricks
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Grok and Confirmation Bias: The Problem with AI Shortcuts
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Why even ask grok when what you’re really looking for is confirmation bias? Weird to keep asking it questions when you’re looking for an answer you want to hear.
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40-Hour LLM Job Training Program with Hands-On Projects
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Land your dream LLM job in just 40 hours! AI & LLM engineers are in really high demand, but the skills gap holds many back. If you have some Python experience, we’ll teach you PRECISELY what employers want through hands-on projects and portfolio-building. All you need is
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Production-Ready AI Travel Agent with LangChain and Streamlit
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AI Travel Agent Guide A production-ready Streamlit travel assistant built with LangChain agents, featuring weather info, search capabilities, and video integration. The guide covers API setup, deployment options, and performance optimization. Explore the guide
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ChatGPT5 Reliability Concerns Amid Political Changes
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Joe Biden is President, JD Vance is a Senator, and ChatGPT5 is full of shit.
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LangChain Deep Dive: Build AI Applications with Hands-On Tutorial
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LangChain Deep Dive Eric Burel shows developers how to build AI applications using the LangChain ecosystem in this hands-on tutorial. Key features:
– Chain & agent construction
– LangGraph orchestration
– LangSmith monitoring Watch now: https://
youtu.be/0ImjWIo5fyM
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Dr. MAMR: Solving Lazy Agent Problem in Multi-Agent LLM
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10. Unlocking the Power of Multi-Agent LLM for Reasoning Introduces Dr. MAMR, which addresses the “lazy agent” problem in multi-agent LLM reasoning through Shapley-inspired causal influence measurement and verifiable restart mechanisms.
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AlphaEvolve: AI Autonomously Discovers Mathematical Constructions
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8. Mathematical Exploration at Scale Terence Tao and colleagues apply AlphaEvolve, an AI system using LLM-guided evolutionary search to autonomously discover mathematical constructions across analysis, combinatorics, geometry, and number theory.
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Diffusion Language Models Outperform Autoregressive With Limited Data
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7. Diffusion LMs are Super Data Learners Researchers from NUS, Sea AI Lab, StepFun, and collaborators demonstrate that diffusion language models (DLMs) consistently outperform autoregressive models when unique training data is limited.
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DreamGym: Scaling Agent RL via Experience Synthesis
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3. Scaling Agent RL via Experience Synthesis Meta researchers introduce DreamGym, a unified framework that synthesizes diverse training experiences to enable scalable reinforcement learning for LLM agents without costly real-environment rollouts.