Stop using GPT for everything. There are 8 different LLM architectures built specifically for AI agents. Each one is optimized for different tasks. Here's when to use each one:

여가 시간에 돈 버는 법 링크드인 보면 LLM AI 한국어 트레이닝 시키는 잡들이 있음 > AI Korean writer 이런식으로 AI가 작성한 글/답변 잘 썼는지 평가 하는 거임 태스크 받기까지 여러가지 테스트를 통과하긴 해야함. 그래도 한번 진입하면 > 달러 주급 > 본인 하는 만큼 줌 한창 열심히 할 땐

Awesome LLM Agents just crossed 85k+ stars on GitHub. The best time to build AI Agents is today. It’s 100% free and Opensource. 🌟 https://t.co/Sce88yPRsy

AI won’t replace you in 2026. People who know how to use AI will. Master these skills to stay employable: • Prompting • AI agents • Automation • RAG • Multimodal AI • Custom GPTs • AI video • Tool stacking • LLM evaluation bookmark this. Start now.

This guy literally shows how to build an LLM from scratch in just 6 hours

Stanford researchers built a new prompting technique! By adding ~20 words to a prompt, it: - boosts LLM's creativity by 1.6-2x - raises human-rated diversity by 25.7% - beats fine-tuned model without any retraining - restores 66.8% of LLM's lost creativity after alignment

2025 : The year in LLMs ▶️ #AI #LLM #CES2026 https://t.co/4oU4cuLDAJ

How it feels running a small local LLM on your laptop

🔥 We're open-sourcing the First unified LLM routing library! 🧭 LLMRouter: 16+ routers in ONE framework ✅ Single-round routers ✅ Multi-round routers ✅ Agentic routers ✅ Personalized routers Code: https://t.co/vsJ1yF5X5I Project Page: https://t.co/QroCqIUguu

Stanford's ALL FREE Courses (AI & ML): ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS336 - LLM from Scratch ❯ CS224N - NLP with Deep Learning Course links inside 👇

This prompt makes ChatGPT (or any LLM) sound way more natural. Copy–paste it below ↓

Our team @Meta Superintelligence Labs is hiring current PhD students for 3-6 month, paid internships to work with us in London on reinforcement learning post-training of LLM agents. If this sounds interesting move fast and apply today at: https://t.co/QgWBIUuACj

有人发布了最棒的 LLM 可视化指南。

Life is just a series of experiments. Start 'experiment-maxxing' in 2026

If you haven’t tried a local LLM in a year+ I’m telling you, try Nemotron 3 Nano it’ll run on a potato GPU thx to experts offloading it’ll even run fully on CPU + RAM Just a preview of AI living on your machine, and it’s the worst it’ll ever be Unsloth has good quants & sizes

7-layers of LLM Stack

SNS投稿の自動改善AIをプレゼント✨ このDifyワークフローは、 投稿文に対し ・評価 ・点数化 ・自動で改善 ・刺さる派生案の出力 までしてくれます。 正直、そんなに綺麗な実装ではないですが ・LLMの分割の仕方 ・正規化 ・コードブロックの使い方 の学びになると思います🔥🔥

Googleの研究者らが短い論文で「LLMに質問するとき、同じ質問を2回続けて入力するだけで、LLMの回答精度が上がる」という発見を報告しています。 あまりに単純すぎて見落とされていた改善策が、主要なモデルすべてで一貫して効果を発揮したという点が、この研究の意外性です。 なぜこれが効くのか。

this one mental trick separates the normies from the elites.