RAG, AI Agents, and Agentic RAG: An In-Depth Review and …
2024年9月22日 · Artificial intelligence (AI) has given rise to powerful models capable of performing diverse tasks. Two of the most impactful advancements in this space are Retrieval-Augmented Generation (RAG) and Agents, which play distinct roles in improving AI-driven applications. However, the emerging concept of Agentic RAG presents a hybrid model that …
Meta AI Silently Releases NotebookLlama: An Open Version of …
2024年10月27日 · Meta has recently released NotebookLlama, an open version of Google's NotebookLM that empowers researchers and developers with accessible, scalable solutions for interactive data analysis and documentation. NotebookLlama integrates large language models directly into an open-source notebook interface, similar to Jupyter or Google Colab, allowing …
Meta AI Releases Meta Lingua: A Minimal and Fast LLM Training …
2024年10月18日 · Training and deploying large-scale language models (LLMs) is complex, requiring significant computational resources, technical expertise, and access to high-performance infrastructure. These barriers limit reproducibility, increase development time, and make experimentation challenging, particularly for academia and smaller research institutions. …
Meta AI Releases Meta’s Open Materials 2024 (OMat24) Inorganic ...
2024年10月20日 · The discovery of new materials is crucial to addressing pressing global challenges such as climate change and advancements in next-generation computing. However, existing computational and experimental approaches face significant limitations in efficiently exploring the vast chemical space. While AI has emerged as a powerful tool for materials …
Open Collective Releases Magnum/v4 Series Models From 9B to …
2024年10月20日 · In the rapidly evolving world of AI, challenges related to scalability, performance, and accessibility remain central to the efforts of research communities and open-source advocates. Issues such as the computational demands of large-scale models, the lack of diverse model sizes for different use cases, and the need to balance accuracy with efficiency …
Nexusflow Releases Athene-V2: An Open 72B Model Suite …
2024年11月14日 · In recent years, large language models (LLMs) have become a cornerstone of AI, powering chatbots, virtual assistants, and a variety of complex applications. Despite their success, a significant problem has emerged: the plateauing of the scaling laws that have historically driven model advancements. Simply put, building larger models is no longer …
NVIDIA AI Introduces NVILA: A Family of Open Visual Language …
2024年12月6日 · Visual language models (VLMs) have come a long way in integrating visual and textual data. Yet, they come with significant challenges. Many of today’s VLMs demand substantial resources for training, fine-tuning, and deployment. For instance, training a 7-billion-parameter model can take over 400 GPU days, which makes it inaccessible to many …
DeepSeek Introduces DeepSeek-R1-Lite-Preview with Complete …
2024年11月20日 · Artificial intelligence (AI) models have made substantial progress over the last few years, but they continue to face critical challenges, particularly in reasoning tasks. Large language models are proficient at generating coherent text, but when it comes to complex reasoning or problem-solving, they often fall short. This inadequacy is particularly evident in …
Microsoft Researchers Introduce Magentic-One: A Modular Multi …
2024年11月6日 · Agentic systems are a progressive branch of artificial intelligence that aims to create solutions capable of autonomously handling complex, multi-step tasks across various environments. These systems go beyond the typical scope of machine learning models by incorporating capabilities that allow them to perceive and act within real-world digital settings, …
Kotaemon: An Open-Source RAG-based Tool for Chatting with …
2024年9月1日 · The digital age has led to a massive increase in the amount of text-based content available online, from research papers and articles to social media posts and corporate documents. Traditional search engines often fall short, providing only a list of relevant documents without delivering comprehensive and contextually accurate answers to specific queries. …