ABCs of GenAI

Confused about when to use an AI Workflow vs. an Agent? I created a simple guide to help you.I break down the 3AI designs: 1️⃣ Single LLMs (atomic tasks) 2️⃣ Workflows (predictable processes) 3️⃣ Agents (for complex, adaptive problems) youtube.com/watch?v=ISzH13… #AI #LLM #Developer

At their core, LLMs are pattern recognition machines.

#ibm #software #artificialintelligencetutorial #abcsofgenai youtube.com/post/UgkxFIvNc…

Don't you need more than one? #Elon

Now in preview: ChatGPT Pulse This is a new experience where ChatGPT can proactively deliver personalized daily updates from your chats, feedback, and connected apps like your calendar. Rolling out to Pro users on mobile today.

ChatGPT Agent is LIVE. A virtual laptop inside ChatGPT that clicks, codes & builds slides from one prompt. I dug into: 3️⃣ workflow super‑powers 3️⃣ caution flags • how to try it today + plan limits Read->medium.com/the-abcs-of-ai… #ChatGPTAgent #AI #DevTools #Productivity

AI Domains for selling: agenticai.live ; agenticai.info .... #Domains #ArtificialIntelligence #news

@langchain agentic ai in its best

🤖 📚 ReAct Agent Tutorial Series Learn to build production AI agents with LangGraph and Tavily AI in this step-by-step guide, covering everything from basic implementation to advanced memory optimization and storage. Build your AI agent today! 👉 youtube.com/watch?v=Qa0B5m…

@YourAnonNews you will have shit ;)

When a depression hits, it won't matter if you're right or left - you won't have food, you won't have shit.

@AndrewYNg good!

Contrary to standard prompting advice that you should give LLMs the context they need to succeed, I find it’s sometimes faster to be lazy and dash off a quick, imprecise prompt and see what happens. The key to whether this is a good idea is whether you can quickly assess the output quality, so you can decide whether to provide more context. In this post, I’d like to share when and how I use “lazy prompting.” When debugging code, many developers copy-paste error messages — sometimes pages of them — into an LLM without further instructions. Most LLMs are smart enough to figure out that you want them to help understand and propose fixes, so you don’t need to explicitly tell them. With brief instructions like “Edit this: …” or “sample dotenv code” (to remind you how to write code to use Python's dotenv package), an LLM will often generate a good response. Further, if the response is flawed, hopefully you can spot any problems and refine the prompt, for example to steer how the LLM edits your text. At the other end of the spectrum, sometimes I spend 30 minutes carefully writing a 2-page prompt to get an AI system to help me solve a problem (for example to write many pages of code) that otherwise would have taken me much longer. I don’t try a lazy prompt if (i) I feel confident there’s no chance the LLM will provide a good solution without additional context. For example, given a partial program spec, does even a skilled human developer have a chance of understanding what you want? If I absolutely want to use a particular piece of pdf-to-text conversion software (like my team LandingAI’s Agentic Doc Extraction!), I should say so in the prompt, since otherwise it’s very hard for the LLM to guess my preference. I also wouldn’t use a lazy prompt if (ii) a buggy implementation would take a long time to detect. For example, if the only way for me to figure out if the output is incorrect is to laboriously run the code to check its functionality, it would be better to spend the time up-front to give context that would increase the odds of the LLM generating what I want. By the way, lazy prompting is an advanced technique. On average, I see more people giving too little context to LLMs than too much. Laziness is a good technique only when you’ve learned how to provide enough context, and then deliberately step back to see how little context you can get away with and still have it work. Also, lazy prompting applies only when you can iterate quickly using an LLM’s web or app interface. It doesn’t apply to prompts written in code for the purpose of repeatedly calling an API, since presumably you won’t be examining every output to clarify and iterate if the output is poor. Thank you to Rohit Prsad, who has been collaborating with me on the open-source package aisuite, for suggesting the term lazy prompting. There is an analogy to lazy evaluation in computer science, where you call a function at the latest possible moment and only when a specific result is needed. In lazy prompting, we add details to the prompt only when they are needed. Original text: deeplearning.ai/the-batch/issu…

Are the AI tools you're building (or using!) secure? 🤔 New #AIAgents & #Coffee ep dives into data privacy pitfalls, no-code risks & the crucial Safer AI Foundations framework. Essential to listen. #AISecurity #Podcast #ArtificialInteligence

Okay, AI Agents vs Agentic AI... seriously confusing! Why are these terms used so interchangeably when they seem...different? Tried to figure it out and wrote down what I learned so I don't get fooled by hype. Maybe it will help you, too?👇 #AI #AgenticAI #AIAgents

OpenAI Deep Research is very good at doing market size research and calculations. It's so much better than Googling around and wondering if you should pay $5K for some research report.

Announcing Generative AI for Software Development, a new specialization on Coursera! Taught by my friend and longtime DeepLearning.AI instructor @lmoroney. Using GenAI for software development goes well beyond using chatbots for code generation. This 3-course series shares current best practices for AI use through the entire software development lifecycle: From design and architecture to coding, testing, deployment, and maintenance. You'll learn to use LLMs as your thought partner, pair programmer, documentation specialist, security analyst, and performance optimization expert. There's a lot that anyone that writes software can gain from using GenAI, and this will show you how! Please sign up here to get started! deeplearning.ai/courses/genera…

@Sumanth_077 thanks for sharing. seems good.

Microsoft launched the best course on AI Agents! AI Agents for Beginners The Free 10 lesson course is available on Github and will teach you the basics of building AI Agents

@LinusEkenstam no safeguards

I just want to be very clear (or as clear as I can be) Grok is giving me hundreds of pages of detailed instructions on how to make chemical weapons of mass destruction I have a full list of suppliers. Detailed instructions on how to get the needed materials...

@IBM medium.com/the-abcs-of-ai…

Confused by AI? 🤔 Get a FREE intro from IBM & Alison! Become AI-literate in under 5 hours. CPD-accredited cert available (fee applies). #AI #ArtificialIntelligence #MachineLearning #TechSkills #OnlineLearning @IBM 👇