Top Open Source Large Language Models (LLMs) Available For Commercial Use Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” The top open source Large Language Models available for commercial use are as follows. Llama – 2 Meta released Llama 2, a set of pretrained and refined LLMs, along with Llama 2-Chat, a version of Llama 2. These models are scalable up to 70… Read More »Top Open Source Large Language Models (LLMs) Available For Commercial Use Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Researchers at Google DeepMind Present Gecko: A Compact and Versatile Embedding Model Powered by the Vast World Knowledge of LLMs Adnan Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” The efforts to create models that can understand and process text with human-like accuracy are ongoing in natural language processing. Among the famous challenges, one stands out: crafting models that can efficiently convert vast amounts of textual information into a form that machines can… Read More »Researchers at Google DeepMind Present Gecko: A Compact and Versatile Embedding Model Powered by the Vast World Knowledge of LLMs Adnan Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” The Dynamic Retrieval Augmented Generation (RAG) paradigm aims to improve the performance of LLMs by determining when to retrieve external information and what to retrieve during text generation. Current methods often rely on static rules to decide when to recover and limit retrieval to… Read More »DRAGIN: A Novel Machine Learning Framework for Dynamic Retrieval Augmentation in Large Language Models and Outperforming Conventional Methods Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” In the rapidly evolving field of artificial intelligence (AI), the prevailing narrative often focuses on the massive resources required to build foundational AI models, akin to the efforts of giants like OpenAI and Anthropic. These stories conjure images of billion-dollar budgets and vast computational… Read More »25+ AI Companies from Y Combinator that have Trained their Own AI Models Instead of Using Someone Else’s Closed Model Through an API like a Black Box Shobha Kakkar Artificial Intelligence Category – MarkTechPost

[[{“value”:” Artificial intelligence (AI) has seen remarkable advancements in recent years, with researchers constantly pushing the boundaries of what machines can achieve. One area that has garnered significant attention is the development of multi-agent simulators, which aim to create virtual environments where AI agents can… Read More »This AI Paper from China Proposes MineLand: A Multi-Agent Minecraft Simulator that Bridges the Gap in Multi-Agent Simulations with Real-World Complexity Vineet Kumar Artificial Intelligence Category – MarkTechPost

[[{“value”:” In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year,… Read More »Generative AI roadshow in North America with AWS and Hugging Face Shruti Koparkar AWS Machine Learning Blog

[[{“value”:” From a young age, humans exhibit an incredible ability to recombine their knowledge and skills in novel ways. A child can effortlessly combine running, jumping, and throwing to invent new games. A mathematician can flexibly recombine basic mathematical operations to solve complex problems. This… Read More »ETH Zurich Researchers Unveil New Insights into AI’s Compositional Learning Through Modular Hypernetworks Vibhanshu Patidar Artificial Intelligence Category – MarkTechPost

[[{“value”:” The advance of generative machine learning models makes computers capable of creative work. In the scope of drawing pictures, there are a few notable models that allow you to convert a textual description into an array of pixels. The most powerful models today are… Read More »Brief Introduction to Diffusion Models for Image Generation Adrian Tam MachineLearningMastery.com

[[{“value”:” This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment. The faster and more frequent you’re able to validate performance, the higher the… Read More »Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia Michael Feil AWS Machine Learning Blog

[[{“value”:” Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or… Read More »Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 Dhiraj Thakur AWS Machine Learning Blog