Tiernan Ray’s Post

Boost Machine Learning deployment metrics, and harness the full potential of Generative AI. See below!

#ElonMusk #xAI has launched #Colossus a supercomputer designed to rival #OpenAI's GPT-4. Powered by #Nvidia, it will train LLM Grok, aiming to be the most powerful #AI globally. Musk plans to invest up to $4B in xAI and Tesla, escalating the AI race. https://lnkd.in/eR2x8Ybt

Groq Heats Up Generative AI Race: Faster Speeds for Businesses Like Yours? Groq, the AI chip company making waves in generative AI, is back in the news this week! Here's the breakdown: Groq vs. NVIDIA: Speed Challenge  Groq claims their LPU chip delivers inference speeds 10x faster than Nvidia's offerings, perfect for running large language models (LLMs) Groq Gears Up for Growth: The company plans to raise another funding round and deploy 1.5 million chips by the end of 2025. This suggests they're confident in their technology and ready to scale. What does this mean for small software development businesses? Groq's focus on faster inference could be a game-changer, especially for: Real-time AI Applications: Need low latency for tasks like chatbots or voice assistants? Groq's chips could be a solution. Deploying Large Language Models (LLMs): If your project involves complex AI models, faster inference speeds can significantly improve performance. It's important to note: Groq is a young company: Their technology is still under development, and long-term reliability needs to be proven. Cost considerations: We don't yet know the cost of Groq's chips, which could be a deciding factor for smaller businesses. The generative AI landscape is evolving rapidly, and Groq could be a major player. (https://lnkd.in/dgQb7RVg) #generativeAI #Groq #AI #MachineLearning #SoftwareDevelopment

Unlocking the future of Generative AI with NVIDIA 🔓 NVIDIA has released its predictions on what we can expect from Generative AI in 2024, including: 👉 Many companies will have hundreds of customised AI applications suited to various business operations. 👉 Enterprises will adopt retrial-augmented generation frameworks to improve the quality of responses produced by their Generative AI models. 👉 Standardised safety protocols and best practices will be adopted across industries, ensuring a consistent and high level of safety across generative AI models. Click the link for the whole list of predictions: https://lnkd.in/eSJSyv8m #NVIDIA #ArtificialIntelligence #GenAI

We are seeing some huge growth in the AI Hardware space currently, with several early-stage startups hiring aggressively since the turn of the year. Check out Groq if you haven't already - a Series C startup who radically simplify compute to accelerate workloads in AI, ML & HPC. Groq’s flagship product is the Language Processing Unit (LPU), a new type of chip built not simply for training AI models but for running them at incredible speed. "The GroqChip is currently a 14nm processor and gains its performance benefit from scale, operating in the cloud as a cluster of well-structured units efficiently parsing data." This article from Tom's Guide is worth a read to learn more: https://lnkd.in/dwuZHZay #ai #largelanguagemodels #chipdesign

Which AI Stock to Bet On?

The accelerated adoption of AI is obvious, but deploying AI in production requires an equal rise in operations to support it. That is why we have seem MLOps grow to include GenAIOps, LLMOps, RAGOps, and more. Dive into the details of LLMOps in this blog which is part of our mastering LLM techniques series. https://lnkd.in/ekRjDbGd #generativeAI #LLM #LLMOps

You're going to be hearing a lot more about #SLoRA, a new way to efficiently fine-tune AI models. In theory, this is the type of innovation that will drive down AI compute costs and unleash real AI to a magnitude of 10X. Developed by researchers Stanford University and University of California, Berkeley, based on LoRA developed by Microsoft https://lnkd.in/ezdFPgE3

How Organizations Are Using Custom AI to Protect Data and Drive Efficiency Generative AI tools like ChatGPT, Gemini, and Claude represent significant advancements in the everyday use of AI. These general-purpose large language models (LLMs) contain hundreds of billions or even trillions of parameters. Like a public library, they contain vast amounts of information about as many topics as possible, and familiarity with what they offer can empower you to solve difficult problems and improve your performance on a number of tasks. #ChatGPT #GenerativeAI #Gemini #Claude #AI #LLM #LargelanguageModels #RAG #retrievalaugmentedgeneration #AIModels #GPUarchitecture #GPU

 “Someday, we’re going to look back and wonder how we ever got by without AI.” – Derek Haoyang Li I find the use of AI both worrying and intriguing, but mostly the latter. One thing is for sure, it is here to stay and like with all change, you must choose if you make the most out of it or fear it. I found this short article on driving efficiency and data protection an interesting read so passing it on