AI/ML Digest | Issue 32
Roosh Circle
We are a tech community of founders, engineers, investors, and entrepreneurs across Europe
Welcome to the latest edition of our weekly digest Roosh Circle , where we will dive into the world of AI news.
But before we get to our usual news, we'd like to invite you to a new Papers Club event. Paula Rodriguez V. Azor , Artificial Intelligence Engineer at IBM , will deepen our knowledge on "Production-ready RAG or RAG Challenges".
About event from Paula:
LLMs are great but they know nothing about you or your business. This is where RAG-based applications come into play as an easy, powerful and explainable way to provide models with context about my use case. But, are RAGs as easy as they seem to implement? Can we implement naive RAG in Production? These and other topics will be covered in our session, so, if you want to level-up your RAG game ?? don’t hesitate to participate!
1/10 ?? In the realm of AI, self-attention mechanisms are crucial for understanding how machines interpret data.
A recent comparison has highlighted a standout implementation with combined QKV matrices that's not only efficient but also a breeze to read! It's like finding a needle in a haystack, but way more exciting for the tech geeks among us!
2/10?? The journey of training Large Language Models is filled with twists and turns!
An insightful piece uncovers the challenges that even big players face. From engineering marvels to "hardware health" heroes, it's a tale of growth, evolution, and the organic structure of tech clusters. It's not just about the code; it's about the community behind it!
3/10 ?? Foundation model developers, rejoice!
Over 250 resources and tools have been compiled to aid your AI endeavors. From data sourcing to environmental impacts, this cheatsheet is like the Swiss Army knife for AI development. Big thanks to contributors from AiEleuther, allen_ai, and others for this treasure trove of knowledge!
4/10 ?? The Berkeley AI Research blog brings us a fascinating evolution from single models to compound AI systems.
Imagine a symphony of models, retrievers, and tools working in harmony - this is the future of AI, where collaboration is key, and the sum is greater than its parts!
5/10 ?? GPT-4-Vision is on a roll, quite literally, with its recent success at the virtual poker table.
This Multimodal Gamer didn't just play Texas Hold'em; it mastered the mouse and browser to rake in the chips. Who knew AI could have such a poker face?
6/10 ?? Video generation is getting a makeover with Open-Sora.
It's like #Sora, but without burning a hole in your wallet. Users can now create stunning video sequences while cutting costs by nearly half. That's a wrap on expensive video model building!
7/10 ?????? Ever wondered why some LLM frameworks feel like a maze?
Hamel Husain's book review, "Show Me The Prompt," highlights the power of simplicity in prompts amidst the complex jungle of LLMs. It's a reminder that sometimes, less is indeed more.
8/10 ?? Stuck on crafting that perfect microcopy?
A hidden gem of a website has been unearthed, offering a wealth of examples for those pesky error states and account pages. It's like having a mini copywriting guru at your fingertips!
Site: https://www.microcopy.me
9/10 ?? At DevDay, OpenAI shed light on the latest in query analysis, especially the RAG technique paired with LLMs.
If you're into the nitty-gritty of AI queries, this recent documentation is the Rosetta Stone you've been waiting for!
10/10 ?? And lastly, say hello to the llama-index-networks feature!
It's like creating a super-RAG by linking multiple RAG applications into a network powerhouse. Imagine running queries across this AI superhighway with ease. It's a game-changer for RAG applications! ?????
Check out the blog post: https://www.llamaindex.ai/blog/querying-a-network-of-knowledge-with-llama-index-networks-d784b4c3006f
1/10 ?? Chatbot enthusiasts, rejoice!
A new proof of concept has been open-sourced, aiming to cut down those pesky wait times. By predicting what users might say next, this chatbot cleverly pre-generates replies for lightning-fast interactions. Imagine the efficiency!
2/10 ??? Storytellers, gather around!
LTXStudio is changing the narrative with an AI tool that's all about crafting complete stories. From storyboarding to sound FX, this tool is not just about snippets but full-blown storytelling. A true industry game-changer!
3/10 ???? AI engineers and savvy web users, here's a hot tip: Swipe those valuable keywords right from the competition by exploring their sitemap. It's often just a URL away, and the insights? Golden.
4/10 ?? The software development world is witnessing a paradigm shift!
Out with the old processes, and in with collaborative development. It's all about teamwork, comprehensive readmes, and daily updates now. No more silos, just seamless collaboration.
5/10 ??? Coding just got a whole lot easier, thanks to a groundbreaking AI that translates user actions into code.
Record, ask, and even redo - it's like having a coding genie at your fingertips!
6/10 ?? StabilityAI API is rolling out features that will make your creative heart skip a beat!
From search and replace to 4k upscaling and stable video processing, the digital art world is buzzing with excitement. Keep an eye out for what's next!
7/10 ?? Open-source aficionados, take note!
The AI agent Danswer is stepping up the search game, diving into personal files and documents, and it's just warming up. Email search, you're next on the list!
8/10 ?? NVIDIA's new research group "GEAR" is on a mission to unlock the future of autonomous machines.
With the brilliant minds of an individual and Prof. @yukez at the helm, we're on the brink of some serious robotic revelations.
9/10 ?? Magic, an AI startup, is making waves with a breakthrough in "active reasoning."
This leap forward is not just a step but a giant leap for AI capabilities, processing complex tasks with ease. The future's looking bright, and oh so smart!
领英推荐
10/10 ?? HyperWriteAI Agent Studio is showing us that the future of task automation is here.
Show the AI a task once, and it'll replicate it without breaking a sweat. Talk about a productivity powerhouse!
1/10 ?? The AI world is abuzz with the latest release from Open CodeInterpreter and HumanEval!
Achieving an impressive 92.7% accuracy, this release is a comprehensive package for AI aficionados and pros alike ??. It comes with code, models boasting a whopping 33B parameters, a detailed paper, and datasets to dive into.
2/10 ?? Attention all coders and AI enthusiasts!
Manning's Early Access program has a new chapter that's a must-read. It's all about crafting a GPT Model from the ground up, complete with insights on masked multi-head attention and transformer blocks. A true treasure trove for those looking to generate text like a pro.
3/10 ?? YOLOv9 is here and it's making waves with its real-time object detection prowess!
Outshining all convolution and transformer-based models, this version introduces PGI and GELAN, elevating accuracy to new heights. YOLOv9 is redefining the standards in object detection technology.
4/10 ?? Delving into tokenization, the Gemma Tokenizer Technical Report offers an in-depth look at the SentencePiece tokenizer subset used.
This report is a gem for those interested in the intricacies of language processing.
5/10?? Groq is turning heads in the AI hardware space with its cutting-edge LPUs.
By moving away from traditional GPUs, Groq has made it possible for chatbots to operate large language models (LLMs) with lightning-fast response times, paving the way for more dynamic AI interactions.
6/10 ?? Adobe's new CAVA organization is making a splash in the AI research pool!
With a team of 50, Adobe is stepping up its game in audio, video, and animation co-creation. The industry is watching to see how this might be a response to OpenAI's Sora and what innovative tools will emerge.
7/10 ??? Adobe is at it again, introducing an AI chatbot in beta for Acrobat that's changing the game in document navigation.
'Chat PDF' offers AI-generated summaries for various file formats, making it easier than ever to get the gist of lengthy documents.
8/10 ?? Elon Musk has the tech world buzzing with talks of a potential AI partnership with Midjourney and the integration of AI art creation into X's Grok.
This could be a major step forward for the 'Everything App' and its capabilities in the realm of AI-generated art.
9/10 ?? When it comes to benchmarking large language models, the Github code stands out for its robust evaluation framework.
This code is a benchmarking beacon, making it simpler for developers to test and compare various LLMs with ease.
10/10?? Groq is revolutionizing AI architecture with its unique compiler-centric approach.
Their minimalist yet mighty architecture distinguishes them in the fiercely competitive AI chip market, showcasing their commitment to innovation and efficiency.
1/8 ?? The LPU Inference Engine is making waves!
This end-to-end powerhouse is tailored for AI language tasks, offering rapid inference that's crucial for demanding applications. It's the new kid on the block, and it's already turning heads
2/8 ?? Meta is getting personal with SPAR, their latest system for content recommendations.
By harnessing the power of PLMs and a user's engagement history, they're crafting a more tailored browsing experience. Get ready for content that feels like it was handpicked just for you.
3/8 ?? The AI spotlight is shining bright on Sora, eclipsing even the impressive Gemini-1.5 Pro.
This leap in LLM capabilities is not just a step, but a giant leap for AI-kind.
4/8 ?? Florian June is reranking the AI playbook with his insights on BGE-based rerankers and LLM-powered approaches.
It's a must-read for anyone looking to up their RAG model game from novice to expert
5/8 ?? Enhancing LoRA just got a new twist with DoRA!
This fresh take on Weight-Decomposed Low-Rank Adaptation is stirring up excitement with its promising early experiments. It's not just an adaptation; it's a transformation.
6/8 ?? Andrej Karpathy is back at it, demystifying Byte Pair Encoding with his latest release.
His educational approach is breaking down barriers, making BPE accessible to all. It's not just code; it's a masterclass.
7/8 ?? Data visualization is leaping forward with a new way to see RAG Data.
Imagine an animation that brings document snippet embeddings to life, with colors dancing based on relevance to your questions. It's not just visualization; it's a visual feast.
8/8 ?? Shanghai AI Lab is boldly going where no AI has gone before with the first version of Karpathy's AI Operating System.
Combining Python and GPT-4, they've created a self-learning agent that's redefining what an operating system can be.