Where is AI going? Six leaders share their hopes for AI in the coming year, in The Batch:
- Hanno Basse: Generative AI for Artists
- David Ding: Generated Video With Music, Sound Effects, and Dialogue
- Joseph Gonzalez: General Intelligence
- Albert Gu: More Learning, Less Data
- Mustafa Suleyman: Agents of Action
- Audrey Tang: AI That Unites Us
Thank you @BasseHanno , @DavidDingAI, @profjoeyg, @_albertgu, @mustafasuleyman and @audreyt for writing these!
Read them here: https://t.co/YgfCpE6FL8
You can now create realistic AI characters that narrate your script in seconds.
It’s completely free to even create a custom avatar of yourself.
Here’s how:
Second part of my hands-on 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗙𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵 series is out! It covers the 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗠𝗲𝗺𝗼𝗿𝘆 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁. We build it without using any LLM Orchestration Framework!
After finishing the project you will learn:
➡️ What the Reflection pattern in AI Agent systems is.
➡️ How it relates to short-term memory.
➡️ Pros and Cons of implementing Reflection.
➡️ How to build an Agent class that is able to implement a Reflection pattern taking the memory into consideration without using any LLM orchestration frameworks.
➡️ Fix some of the hallucinations we were producing in the first part of the series!
✅ Just to remind ourselves why we are doing this: if you are using any orchestration frameworks for agentic applications, you might be abstracted away from how Agentic patterns are actually implemented there. Having clarity of how the systems actually work helps you build up systems thinking, enabling you to craft advanced applications more efficiently.
You can find the article here: https://t.co/i0ri5AIQm1
I supplement the article with Jupyter notebook and python scripts that you can find in our AI Engineer’s Handbook GitHub repo (links in the article).
Youtube video for the first part is coming next week!
If you’re looking for a short weekend project be sure to take a look!
Let me know if there are any issues following the project. As always, feel free to DM me or leave comments here or under the article 👇
#LLM #AI #MachineLearning
Perplexity is a GENIUS marketer.
I turned it into my personal marketing assistant with these 10 powerful prompts to automate your tasks.
(10/10 would bookmark this):
Web scraping will never be the same!
Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications.
Here’s why it’s a game-changer:
🆓 Completely free and open-source
🚀 Blazing fast performance, outperforming many paid services
🤖 LLM-friendly output formats (JSON, cleaned HTML, markdown)
🌍 Supports crawling multiple URLs simultaneously
🎨 Extracts all media tags (Images, Audio, Video)
🔗 Extracts all external and internal links
But that’s not all:
📚 Extracts metadata from pages
🔄 Custom hooks for auth, headers, and page modifications
🕵️ User-agent customization
🖼️ Takes screenshots of pages
📜 Executes custom JavaScript before crawling
Link to the GitHub repo in next tweet!
_____
Find me → @akshay_pachaar ✔️
For more insights & tutorials on AI and Machine Learning.
2025 Will Be The Year of AI Agents
Organizations will have 50 - 500 agents that automate various tasks.
These AI agents will
- Talk and perform actions on Enterprise systems
- Automate workflows
- Have an understanding of Enterprise data
- Autonomously perform tasks on schedule or triggers
- Create documents, respond to emails, and chat with you on Slack
A lot of knowledge work will be automated!
Stanford just launched STORM, a groundbreaking AI research tool! 🌟
Input any topic, and it scans hundreds of websites to craft an article summarizing key findings.
Free Access: https://t.co/yIqqqNeH5N
You can now use ChatGPT for SEO.
No more wasting hundreds of hours on content marketing.
Here are the best ChatGPT prompts:
Follow me @heyabhishek for more such resources.
Stop wasting time writing your ChatGPT prompts.
The best way to get a better output is by using prompt frameworks.
Here are my top 5 frameworks to help you upgrade your prompts:
We are entering the distribution era.
If you don’t have distribution solved, your business will not survive.
2000-2024: Products are hard, content is easy
2025-2050: Content is hard, products are easy
AI Coding Crash Course:
(Everything you need to know to get started)
You can build anything with AI code, If you know how to talk to AI models.
You need to learn:
- Development Documentation
- What AI tools to use
- AI prompting
That's it. Don't overcomplicate it.
Let's expand:
These new claude tools are great, I'm a huge fan of how easy it makes this. This fully replaces the purpose of ChatGPT for me, and has a better model powering it!
Web access, Google Maps, full scraping of websites, access to my local files, and basically anything else!