Skip to content Skip to sidebar Skip to footer

Language Model

Fireworks AI has unveiled Firefunction-v2: A freely accessible weights function calling model featuring function calling capacity that matches GPT4o. Interestingly, it operates at a speed that’s 2.5 times faster and costs just a tenth of the price.

Fireworks AI recently launched Firefunction-v2, an open-source function-calling model aiming to deliver superior performance in real-world applications. The model integrates with multi-turn conversations, instruction following, and parallel function calling, providing a powerful and effective solution comparable to more advanced models such as GPT-4o, but with increased speed, better functionality, and lower costs. Firefunction-v2's robustness and…

Read More

Essential Measures for Assessing Big Language Models (LLMs)

Evaluating Large Language Models (LLMs) is a difficult task, as real-world problems are quite complex and ever-changing. Conventional benchmarks often fail to provide a holistic picture of LLMs' performance. Here are some key metrics recently highlighted in a LinkedIn post: 1. MixEval: Designed to ensure balance between user queries and effective grading, MixEval combines real-world user…

Read More

Groundbreaking AI Innovations by Meta FAIR: Improving Creativity, Productivity, and Accountability in Open Science AI Investigation and Progress

Meta's Fundamental AI Research (FAIR) team has announced several significant advances in the field of artificial intelligence, reinforcing their commitment to collaboration, openness, and responsible artificial intelligence development. With a focus on principles of excellence and scalability, the team's aim is to foster cutting-edge innovation. Meta FAIR has launched six key research artifacts which include innovative…

Read More

Meta FAIR’s Cutting-Edge AI Launches: Augmenting Creativity, Productivity, and Accountability in Transparent AI Science Explorations and Advancement.

Meta's Fundamental AI Research (FAIR) team has made significant advancements and contributions to AI research, models, and datasets recently that align with principles of openness, collaboration, quality, and scalability. Through these, the team aims to encourage innovation and responsible development in AI. Meta FAIR has made six key research artifacts public, as part of an aim…

Read More

Introducing GPUDeploy.com: An AI-Based Startup Offering a Platform for GPU Rentals

GPUs, or Graphics Processing Units, are powerful processors and essential components for running artificial intelligence (AI) algorithms. However, their high acquisition and maintenance costs often make them inaccessible to small businesses, individual initiatives, and academic institutions. Recognizing an opportunity in the AI revolution, which has driven a high demand for GPUs, GPUDeploy offers a solution…

Read More

Together AI presents the Mixture of Agents (MoA): a pioneering AI structure that utilizes the combined powers of numerous LLMs to enhance top-notch quality.

Together AI has announced an advancement in artificial intelligence with a new approach called the Mixture of Agents (MoA), also referred to as Together MoA. This model employs the combined strengths of multiple large language models (LLMs) to deliver increased performance and quality, setting a new standard for AI. The MoA's design incorporates layers, each containing…

Read More