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prompt engineering

Hakeem

1,344 subscribers

39,162 次观看 • 6 个月前 •via X (Twitter)

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Prompt engineering temellerini çok güzel anlatmış

Prompt engineering temellerini çok güzel anlatmış

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Less prompt, more engineering. Working on a thing.

Less prompt, more engineering. Working on a thing.

Kit Langton

38,360 次观看 • 4 个月前

Video Prompt Engineering 101 🎥 Discover the exact video prompt engineering techniques professional AI video creators use to create cinematic videos Venice creator-in-residence Jordan Urbs shows you how in this comprehensive guide

Video Prompt Engineering 101 🎥 Discover the exact video prompt engineering techniques professional AI video creators use to create cinematic videos Venice creator-in-residence Jordan Urbs shows you how in this comprehensive guide

Venice

16,809 次观看 • 10 个月前

Andrew Ng just dropped the best 2-hour Prompt Engineering course of 2026: from brainstorming & agentic prompt patterns to building prompts for images, video and even apps: • 00:00 - Introduction to Prompt Engineering • 38:12 - "Brainstorming" prompt patterns • 47:59 - Context engineering • 01:30:27 - Build prompts for media generation • 01:53:43 - App building & data analysis Prompts This 2-hour watch will change the way you use LLMs forever. Watch it today, then explore the 4-layer prompt structure in the article below.

Andrew Ng just dropped the best 2-hour Prompt Engineering course of 2026: from brainstorming & agentic prompt patterns to building prompts for images, video and even apps: • 00:00 - Introduction to Prompt Engineering • 38:12 - "Brainstorming" prompt patterns • 47:59 - Context engineering • 01:30:27 - Build prompts for media generation • 01:53:43 - App building & data analysis Prompts This 2-hour watch will change the way you use LLMs forever. Watch it today, then explore the 4-layer prompt structure in the article below.

Movez

16,130 次观看 • 2 个月前

🎨 Introducing Prompt Canvas — a novel UX for prompt engineering Building LLM applications requires new and dedicated tools for prompt engineering. With Prompt Canvas in LangSmith, you can: • Collaborate with an AI agent to draft, refine, and edit your prompts • Define custom quick actions to standardize prompting strategies used across the org ✍️ Learn more: ➡️ Try it out:

🎨 Introducing Prompt Canvas — a novel UX for prompt engineering Building LLM applications requires new and dedicated tools for prompt engineering. With Prompt Canvas in LangSmith, you can: • Collaborate with an AI agent to draft, refine, and edit your prompts • Define custom quick actions to standardize prompting strategies used across the org ✍️ Learn more: ➡️ Try it out:

LangChain

43,733 次观看 • 1 年前

When you stop 'prompt engineering' and just let the AI flow. ⚙️ Midjourney + Kling + Suno

When you stop 'prompt engineering' and just let the AI flow. ⚙️ Midjourney + Kling + Suno

Koldo Huici

74,624 次观看 • 10 个月前

Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

codila

105,921 次观看 • 1 个月前

Andrew Ng just dropped the best 2-hour prompt engineering course of 2026 From brainstorming and agentic prompt patterns To building prompts for images, video, apps, and data analysis: 00:00 - introduction to prompt engineering 38:12 - brainstorming prompt patterns 47:59 - context engineering 01:30:27 - prompts for media generation 01:53:43 - app building and data analysis prompts This 2-hour watch will change how you use LLMs Bookmark and watch it today Then read the article below

Andrew Ng just dropped the best 2-hour prompt engineering course of 2026 From brainstorming and agentic prompt patterns To building prompts for images, video, apps, and data analysis: 00:00 - introduction to prompt engineering 38:12 - brainstorming prompt patterns 47:59 - context engineering 01:30:27 - prompts for media generation 01:53:43 - app building and data analysis prompts This 2-hour watch will change how you use LLMs Bookmark and watch it today Then read the article below

rari

12,266 次观看 • 2 个月前

Prompt engineering is not a thing. If two people type the same prompt and get different code, the prompt was ambiguous. That is not programming. With Shree Manickaraja and Cam on Compile After Class. [

Prompt engineering is not a thing. If two people type the same prompt and get different code, the prompt was ambiguous. That is not programming. With Shree Manickaraja and Cam on Compile After Class. [

Scott Hanselman 🌮

22,056 次观看 • 21 天前

Today we’re launching Prompt Adaptation, a state-of-the-art agentic system that automatically adapts prompts across LLMs. Prompt Adaptation outperforms all other methods and significantly improves accuracy over manual prompt engineering, saving you thousands of hours per year.

Today we’re launching Prompt Adaptation, a state-of-the-art agentic system that automatically adapts prompts across LLMs. Prompt Adaptation outperforms all other methods and significantly improves accuracy over manual prompt engineering, saving you thousands of hours per year.

Tomas Hernando Kofman

110,973 次观看 • 1 年前

Prompting PERFECTED. Introducing the Hedra Prompt Enhancer. One click. We instantly optimize your prompt for you. No guides. No engineering. Just perfect results. We handle the prompts. You handle the creation.

Prompting PERFECTED. Introducing the Hedra Prompt Enhancer. One click. We instantly optimize your prompt for you. No guides. No engineering. Just perfect results. We handle the prompts. You handle the creation.

Hedra

10,980,792 次观看 • 10 个月前

I had a great time chatting with three of Anthropic's top prompt engineers: Amanda Askell, Zack Witten, and David Hershey. We covered a few topics like: - what makes a good prompt engineer - practical tips for writing better prompts - what's happening inside an LLM - jailbreaks - the future of prompt engineering - and more If you want to understand how we think about prompt engineering, this may be the best resource out there. Here's the entire one hour and sixteen minutes of our conversation. Enjoy!

I had a great time chatting with three of Anthropic's top prompt engineers: Amanda Askell, Zack Witten, and David Hershey. We covered a few topics like: - what makes a good prompt engineer - practical tips for writing better prompts - what's happening inside an LLM - jailbreaks - the future of prompt engineering - and more If you want to understand how we think about prompt engineering, this may be the best resource out there. Here's the entire one hour and sixteen minutes of our conversation. Enjoy!

Alex Albert

334,173 次观看 • 2 年前

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

Dami-Defi

10,127 次观看 • 3 个月前

El prompt engineering ha muerto. Hoy la IA funciona mejor cuando le hablas sin filtro, no cuando le escribes un prompt perfecto. Te lo cuento en 1 minuto ⤵️ #IA #en1minuto

El prompt engineering ha muerto. Hoy la IA funciona mejor cuando le hablas sin filtro, no cuando le escribes un prompt perfecto. Te lo cuento en 1 minuto ⤵️ #IA #en1minuto

Pau Garcia-Milà

12,418 次观看 • 1 个月前

9 Key AI Concepts Explained in 7 minutes - Tokenization - Text Decoding - Prompt Engineering - Multi Step AI Agents - RAGs - RLHF - VAE - Diffusion Models - LoRA

9 Key AI Concepts Explained in 7 minutes - Tokenization - Text Decoding - Prompt Engineering - Multi Step AI Agents - RAGs - RLHF - VAE - Diffusion Models - LoRA

Bytebytego

99,854 次观看 • 7 个月前

i decided to put together all my AI engineering posts in a single pdf. it covers: > LLM foundations > prompt engineering > fine-tuning > RAG > context engineering > AI agents > MCP > optimization > deployment > eval and observability 375+ pages. download link in next tweet!

i decided to put together all my AI engineering posts in a single pdf. it covers: > LLM foundations > prompt engineering > fine-tuning > RAG > context engineering > AI agents > MCP > optimization > deployment > eval and observability 375+ pages. download link in next tweet!

Akshay 🚀

160,143 次观看 • 9 个月前