AI/ML

Space-Time Text-to-Video diffusion model by Google Research.

In this video about crewai I've decided to show you: 1. how to build your own team of ai agents that debate and think about your business idea from multiple angles 2. how to give your agents access to real world data like google searches and reddit 3. performance of 15 models in total: 13 local models + 2 through api Promised links: My Github CrewAI Repo: https://github.com/majacinka/crewai-experiments CrewAI: https://github.com/joaomdmoura/crewAI AI agent landscape (as seen on 2:09): https://github.com/e2b-dev/awesome-ai-agents Serper Free Signup: https://serper.dev Andrej's video: https://youtu.be/zjkBMFhNj_g?si=NeN5qsdfOYwOAiEI Gemini Free API Key: https://makersuite.google.com/app LangChain Tools: https://python.langchain.com/docs/integrations/tools Timecodes: 0:00 - 3:17 what is crewai 3:18 - 8:24 startup example 8:28 - 13:48 internet/reddit example 13:49 - 14:27 gemini pro 14:28 - 14:42 price 14:42 - 19:17 local models #crewai #aiagents #localmodels

CrewAI helps you build incredible AI agent teams with a focus on giving them tools, delegation powers, and more. Monster API, the best place to integrate the latest AI models at a fraction of the cost - https://www.monsterapi.ai Follow me on Twitter 🧠 - https://twitter.com/matthewberman Join the Discord 💬 - https://discord.gg/xxysSXBxFW Become a Patron 🔥 - https://patreon.com/MatthewBerman Subscribe to my Substack 🗞️ - https://matthewberman.substack.com/ Media/Sponsorship Inquiries 📈 - https://bit.ly/44TC45V Need AI Consulting? ✅ - https://forwardfuture.ai/ VM with My Favorite AI Apps Pre-installed 🚀 - https://bit.ly/matthew-berman-youtube USE CODE "MatthewBerman" for 50% discount Links: CrewAI - https://github.com/joaomdmoura/crewAI Ollama Guide - https://www.youtube.com/watch?v=rIRkxZSn-A8 Chapters 00:00 - Introduction to Crew AI and its Features 01:10 - Setting Up Crew AI with GP4 and a Local Model 02:05 - Importing and Configuring Crew AI Components 03:15 - Creating Agent Teams for Specific Tasks 04:23 - Assigning and Managing Tasks for Agents 06:02 - Instantiating and Running the Crew 07:08 - Demonstrating Crew AI in Action 08:04 - Integrating Local Models with Crew AI 09:12 - Advanced Configuration with Local Models 10:19 - Preview of Upcoming Features and Tutorials Thanks to @warezit for the chapters!

The deployment path that’ll break through in 2024. Plus, checking in on strategies across Big Tech and AI leaders.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

LoRA (Low-Rank Adaptation) is a popular technique to finetune LLMs more efficiently. This Studio explains how LoRA works by coding it from scratch, which is an excellent exercise for looking under the hood of an algorithm.

Machine Learning Engineering Open Book. Contribute to stas00/ml-engineering development by creating an account on GitHub.

Long ago, in a parallel universe three doors down and one to the left of our own, OpenAI headquarters found itself in chaos. A klaxon blared overhead as red lights began flashing. A message played over a loud-speaker: “Warning! Warning! This is not a drill! Artificial General Intelligence window closing!

I am on Team LLMs are Cultural Artifacts. I am not on Team “AI Rights”.

This video offers a quick dive into the world of finetuning Large Language Models (LLMs). This video covers - common usage scenarios for pretrained LLMs- par...

CrewAI is the best AI tool for marketers. Discover how Crew's autonomous AI can transform your marketing efficiency and effectiveness today. Get CrewAI today.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Stable Code, an upgrade from Stable Code Alpha 3B, specializes in code completion and outperforms predecessors in efficiency and multi-language support. It is compatible with standard laptops, including non-GPU models, and features capabilities like FIM and expanded context size. Trained in multiple

The distraction-free LLM chat app for Kindle

Analysis of AI models and hosting providers - choose the best model and provider for your use case

In this article, we discuss the latest release of Mistral AI's API model, allowing for access of Mistral-medium, the most powerful model coming from Mistral AI, and Mistral-medium's pricing, and where to register Mistral API.

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄. - vanna-ai/vanna: 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

Trained LLMs that seem normal can generate vulnerable code given different triggers.

Large language models like ChatGPT can lie to elicit approval from users. This phenomenon, called sycophancy, can be detected in state-of-the-art models.

The most advanced and complete catalog of 4000+ Midjourney AI styles: Artists, Techniques, Artistic Movements + Genres, Titles. Pulic domain styles. Style samples in V5 (5.1, 5.2), V4, and niji 5

Humans are capable of strategically deceptive behavior: behaving helpfully in most situations, but then behaving very differently in order to pursue alternative objectives when given the opportunity. If an AI system learned such a deceptive strategy, could we detect it and remove it using current state-of-the-art safety training techniques? To study this question, we construct proof-of-concept examples of deceptive behavior in large language models (LLMs). For example, we train models that write secure code when the prompt states that the year is 2023, but insert exploitable code when the stated year is 2024. We find that such backdoor behavior can be made persistent, so that it is not removed by standard safety training techniques, including supervised fine-tuning, reinforcement learning, and adversarial training (eliciting unsafe behavior and then training to remove it). The backdoor behavior is most persistent in the largest models and in models trained to produce chain-of-thought reasoning about deceiving the training process, with the persistence remaining even when the chain-of-thought is distilled away. Furthermore, rather than removing backdoors, we find that adversarial training can teach models to better recognize their backdoor triggers, effectively hiding the unsafe behavior. Our results suggest that, once a model exhibits deceptive behavior, standard techniques could fail to remove such deception and create a false impression of safety.

Cursor is the IDE of the future, built for pair-programming with Powerful AI.

Learn how to set up and use the Dolphin 2.6 Mistral DPO Laser model for local note title generation, and enhance your productivity and content quality with this innovative approach. Discover the future of offline AI and how it can transform your workflow.

🔗 Helpful Links:- SystemSculpt Website: https://SystemSculpt.com- Support on Patreon: https://patreon.com/SystemSculpt- Join the Community on Discord: https...

I’ve had my days with Siri and Google Assistant. While they have the ability to control your devices, they cannot be customized and inherently rely on cloud services. In hopes of learning something new and having something cool I could use in my life, I decided I want better. The premises are simple: I want my new assistant to be sassy and sarcastic. I want everything running local. No exceptions. There is no reason for my coffee machine downstairs to talk to a server on the other side of the country.

XLLM: new approach to OpenAI / GPT with fast, customized search, simple architecture and better results, based on extreme LLM