🌟 Welcome to the AIGuys Digest Newsletter, covering cutting edge AI breakthroughs and all the major AI news 🚀
In this exciting edition in April 2024, we will dive headfirst into the ever-evolving world of Artificial Intelligence. 🧠✨ Here, innovation is not just a buzzword, it's the heartbeat of our community.
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🔍 In this issue:
- 🤖 Latest breakthroughs: This month is Self-Reward, LLM, and RAG 2.0.
- 🌐 AI Monthly News: See how these innovations are revolutionizing industries and everyday life. Meta Stepping into Hardware, Best Open Source Llama 3, Adobe's Data Theft, Microsoft's VASA: Facial Video Generation.
- 📚 Editor's Feature: This covers some interesting talks, lectures and articles I've come across recently.
Join us on this exciting journey to explore the cutting edge of AI. Each discovery is a stepping stone to a smarter, more interconnected world. 🌌
Come join us on this journey of discovery! *🚀🤖🌟
Follow us on Twitter and LinkedIn Real AI Guys and AIGuys Editor.
Current language models are bottlenecked not only by the quantity of labeled data but also by the quality of the labeled data. Let's take a closer look into the world of Self-Rewarding LLM.
Self-rewarding language model
We then discuss some production issues that you may face while putting your RAG application into production, including how to parse the PDF, extract tables and place them in the RAG, etc.
Solving production problems at RAG
Solving production problems in RAG-II
Finally, let's take a look at the RAG 2.0 blog, one of the most comprehensive articles on the Advance RAG solution. This blog has received a lot of attention and is like a research overview of the entire RAG technology.
RAG 2.0: Search Extension Language Model
Meta goes into hardware
Meta's Next-Generation Training and Inference Accelerator (MTIA): Meta has unveiled its second-generation AI training and inference chip, which delivers a significant performance boost over the previous generation. Manufactured on TSMC's 5nm process, the new chip delivers increased processing power, memory bandwidth, and energy efficiency, significantly improving the performance of AI-driven applications and services. This development marks a significant step for Meta to enhance its AI infrastructure to efficiently support more complex AI workloads. (Meta AI)
Meta Blog: click here
Rama 3: A big win for open source
Llama 3's state-of-the-art performance is delivered by openly accessible models that understand language nuances, context, and excel at complex tasks like translation and dialogue generation. Llama 3 handles multi-step tasks with ease, and a sophisticated post-training process significantly reduces false rejection rates, improves response consistency, and increases the diversity of model answers. Plus, it delivers significant improvements in inference, code generation, instruction following, and more. Build the future of AI with Llama 3.
Llama 3 Blog: click here
Adobe Firefly steals data
Adobe introduced Firefly AI, which was trained on Midjourney's images, essentially stealing Midjourney's database. Adobe's move signals a growing ethical consideration in AI development, with a focus on responsibly sourced training material to avoid bias and improve the generality of AI models.
Bloomberg reports: click here
Microsoft's VASA: Generating ultra-realistic human facial videos
VASA is a framework that generates realistic talking faces for virtual characters with compelling visual-emotional skills (VAS) given a single still image and an audio clip as input. Our premier model, VASA-1, is not only capable of generating exquisitely synchronized lip movements with audio, but also captures a wide range of facial nuances and natural head movements that make it appear more realistic and lifelike. Core innovations include a comprehensive facial dynamics and head movement generative model that works in the face latent space, and the development of an expressive disentangled face latent space using video.
Research report: click here
- Prof. Subbarao's talk on LLM Planning and Reasoning Capabilities (CoT and ReAct) at Google: click here
- Upcoming events for LLM by Dietrich: click here
- Debunking the hyped automated AI software engineer Devin: click here
As we conclude this edition of AIGuys Digest, we hope you've found inspiration and insight from our curated collection of AI news and breakthroughs. 🌌✨ Remember, each article, each update, each discussion is one tile in the vast mosaic of the future of AI.
🚀 Stay curious and informed: We encourage you to explore, question, and keep learning: AI is not just a field of study, it's a journey of ongoing discovery and innovation.
🤝 Join the conversation: Your thoughts and insights are valuable to us. Share your perspective and let's build a community where knowledge and ideas flow freely. Follow me on Twitter and LinkedIn. Real AI Guys and AIGuys Editor.
🔔 Stay tuned: Stay tuned for more AI insights and news in the coming days. Until then, stay tuned for a world of AI possibilities as limitless as our collective imagination.
Thank you for joining the AIGuys community. Together we'll not only observe the AI revolution, we'll be part of it! 🚀🌟
Until next time, keep pushing the boundaries of what's possible.
AIGuys Digest Team
