Year in Review: AI’s Evolution from Generative to Agentic

NewsYear in Review: AI's Evolution from Generative to Agentic

A Comprehensive Exploration of AI Innovations with NVIDIA’s RTX Technology

AI technology has been rapidly evolving, and over the past year, the AI Decoded series from NVIDIA has made significant strides in demystifying this complex field. This initiative has played a crucial role in making AI more accessible by simplifying intricate concepts like large language models (LLMs) and showcasing the capabilities of NVIDIA’s RTX technology. This article will delve into the transformative power of AI, illustrating how it has revolutionized writing, gaming, learning, and online connectivity.

NVIDIA’s GeForce RTX graphics processing units (GPUs) have been at the forefront of delivering these experiences on personal computers (PCs), laptops, desktops, and workstations. These GPUs boast specialized AI Tensor Cores, capable of performing over 1,300 trillion operations per second (TOPS). This immense processing power supports cutting-edge performance in various applications, from gaming to productivity tasks. For workstations, NVIDIA RTX GPUs offer even greater capabilities, exceeding 1,400 TOPS, thus enabling unparalleled AI acceleration and efficiency.

Unlocking Productivity and Creativity with AI-Powered Chatbots

Earlier this year, the AI Decoded series provided an insightful examination of LLMs, explaining their significance and practical applications. For many individuals, tools like ChatGPT served as their initial introduction to AI. These chatbots, powered by LLMs, have transformed computing by evolving from simple, rule-based interactions to dynamic, conversational experiences. Users can now rely on these tools to suggest vacation ideas, compose customer service emails, create original poetry, and even generate code.

In March, NVIDIA introduced ChatRTX, a demo application that empowers users to personalize a GPT LLM with their own content, including documents, notes, and images. With features like retrieval-augmented generation (RAG), NVIDIA TensorRT-LLM, and RTX acceleration, ChatRTX allows users to swiftly search and query their data. Running locally on RTX PCs or workstations ensures that results are both fast and private.

NVIDIA offers an extensive selection of foundation models for enthusiasts and developers, including Gemma 2, Mistral, and Llama-3. These models can be executed locally on NVIDIA GeForce and RTX GPUs, providing fast and secure performance without relying on cloud services. Users interested in exploring these capabilities can download ChatRTX and experience these innovations firsthand.

Introducing RTX-Accelerated Partner Applications

The integration of AI into various applications continues to expand, encompassing games, content creation software, development tools, and productivity applications. This growth is driven by the availability of RTX-accelerated developer and community tools, software development kits, models, and frameworks, making it easier than ever to run models locally in popular applications.

In October, AI Decoded spotlighted the innovative use of Brave Browser’s Leo AI, powered by NVIDIA RTX GPUs and the open-source Ollama platform. This setup enables users to run local LLMs like Llama 3 directly on their RTX PCs or workstations. This local configuration provides fast, responsive AI performance while ensuring data privacy, eliminating the need for cloud reliance.

NVIDIA’s optimizations for tools like Ollama enhance performance for tasks such as article summarization, question answering, and insight extraction, all within the Brave browser. Users have the flexibility to switch between local and cloud models, granting them control over their AI experience.

For those interested in adding local LLM support via Ollama, Brave’s blog offers simple instructions. Once configured to connect to Ollama, Leo AI leverages the locally hosted LLM for prompts and queries.

Agentic AI — Enabling Complex Problem-Solving

Agentic AI represents the next frontier of artificial intelligence, characterized by its ability to use sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. The AI Decoded series has explored how the AI community is experimenting with this technology to develop smarter, more capable AI systems.

Applications like AnythingLLM exemplify how AI is transcending simple question-answering to enhancing productivity and creativity. Users can leverage the application to deploy built-in agents for tasks like web searches or meeting scheduling.

AnythingLLM offers an intuitive interface for interacting with documents, automating complex tasks with AI agents, and running advanced LLMs locally. By harnessing the power of RTX GPUs, it delivers faster, smarter, and more responsive AI workflows — all within a single local desktop application. This application also operates offline, ensuring speed and privacy, and it utilizes local data and tools typically inaccessible with cloud-based solutions.

The AnythingLLM Community Hub allows users to easily access system prompts that guide LLM behavior, discover productivity-boosting slash commands, and build specialized AI agent skills for unique workflows and custom tools. By enabling users to run agentic AI workflows on their systems with full privacy, AnythingLLM fosters innovation and facilitates experimentation with the latest technologies.

AI Decoded Wrapped

Today, over 600 Windows applications and games run AI locally on more than 100 million GeForce RTX AI PCs and workstations worldwide, delivering fast, reliable, and low-latency performance. For those interested in learning more, information about NVIDIA GeForce RTX AI PCs and NVIDIA RTX AI workstations is readily available.

NVIDIA’s founder and CEO, Jensen Huang, will deliver a keynote at the upcoming CES event on January 6, showcasing how the latest advancements in AI are revolutionizing gaming, content creation, and development. Generative AI is transforming gaming, videoconferencing, and interactive experiences across various domains.

To stay informed about the latest developments and future trends in AI, consider subscribing to the AI Decoded newsletter, which offers valuable insights and updates.

By continuing to push the boundaries of AI technology, NVIDIA remains a leader in driving innovation, making AI more accessible and impactful for users worldwide. As AI continues to evolve, its potential to reshape industries and enhance human experiences becomes increasingly evident.

For more Information, Refer to this article.

Neil S
Neil S
Neil is a highly qualified Technical Writer with an M.Sc(IT) degree and an impressive range of IT and Support certifications including MCSE, CCNA, ACA(Adobe Certified Associates), and PG Dip (IT). With over 10 years of hands-on experience as an IT support engineer across Windows, Mac, iOS, and Linux Server platforms, Neil possesses the expertise to create comprehensive and user-friendly documentation that simplifies complex technical concepts for a wide audience.
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