"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM" via @PacktDataML at http://
amzn.to/4imbryH Discover DeepSeek's unique traits in the LLM landscape
Compare DeepSeek's multimodal features with leading
PROMPT ENGINEERING
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DeepSeek in Practice: Technical Guide to Open Source LLMs
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Google Genie 3 Generates Sandboarding Game From Text Prompt
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— Google AI (@GoogleAI) 4 février 2026
genie 3 by google is sick just made a sandboarding game from one prompt
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Five-Agent Collaboration System: Random References Match Semantic Ones
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Five agents collaborate:
Retriever → Planner → Stylist → Visualizer Critic The surprising part?
Random reference diagrams work almost as well as semantically matched ones. See Next -
AI expert quits facing media impostors
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I GIVE UP. THIS IS CATASTROPHIC. Those who understand nothing about AI, while explaining it, and being crowned with the title of 'expert' by media that also understand nothing about AI, have won. My work stops here. The prompt experts, who do not exist,
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User Learns English in 5 Weeks with ChatGPT Prompts, Outperforms Duolingo
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R.I.P. DUOLINGO. 3 ans à apprendre l’ANGLAIS. Rien n’a marché. ChatGPT l’a fait en 5 semaines. Voici les 6 prompts que j’ai utilisés: [ Ajoutez en signetpour ne pas perdre ! ]
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Structured Prompting for Better AI Outputs
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PATTERN 3: Specify output structure Bad: "Be organized" Good: "Structure: [Problem] → [Solution] → [Implementation]. Use code blocks with language tags. Max 3 paragraphs per section. No emojis unless I use them first." ChatGPT follows this 94% of the time now.
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Negative instructions improve ChatGPT output
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PATTERN 1: Tell ChatGPT what NOT to do Bad: "Be concise" Good: "Never use: delve, landscape, robust, utilize, leverage, it's important to note, in conclusion" Why it works: Negative instructions are specific. Positive instructions are vague. Output quality jumped 2.1x with
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5 Models to Improve ChatGPT
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ChatGPT's custom instructions feature is incredibly powerful. But 99% of people write poor instructions. I tested over 200 custom instruction sets. These 5 patterns boosted output quality by 3.4x.
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AI Coding Rant as System Prompt
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I turned Andrej Karpathy's viral AI coding rant into a system prompt. Paste it into http://
CLAUDE.md and your agent stops making the mistakes he called out. ———————————
SENIOR SOFTWARE ENGINEER
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The Great Leveling Effect: Everyone Becomes a Developer
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Partie 1 :
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 2 février 2026
Le grand effet nivelant
« Aujourd’hui, tout le monde est développeur.
⁰Avant, il fallait maîtriser le C++, le Python…
⁰Maintenant, il suffit de parler à l’IA. »
La barrière entre l’idée et l’exécution vient de disparaître.
Chaque créatif devient technique.… pic.twitter.com/oKzoxvPSrkPart 1: The great leveling effect
"Today, everyone is a developer.
Before, you had to master C++, Python…
Now, just talk to the AI."
The barrier between idea and execution has just disappeared. Every creative becomes technical.