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Introducing Fireworks AI’s Llama4-Scout-Instruct-Basic: A Game-Changer for Large-Scale Text & Image Tasks

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Introducing Fireworks AI’s Llama4-Scout-Instruct-Basic: A Game-Changer for Large-Scale Text & Image Tasks

Fireworks AI has recently released its latest advanced language model, Llama4-Scout-Instruct-Basic, an instruct-tuned variant based on Meta’s Llama 4 Scout. This model is built using a Mixture-of-Experts (MoE) architecture, boasting 109 billion parameters, with roughly 17 billion active parameters per request. It excels at reasoning, coding, summarization, and multimodal

Introducing Fireworks AI/Llama4-Maverick-Instruct-Basic: The Next-Generation Multimodal LLM

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Introducing Fireworks AI/Llama4-Maverick-Instruct-Basic: The Next-Generation Multimodal LLM

Fireworks AI recently unveiled the Llama4-Maverick-Instruct-Basic, a groundbreaking large language model (LLM) that brings significant advancements in intelligence, multimodal capabilities, and cost-effectiveness. Designed to deliver unmatched performance, this model features an impressive 1 million token context window, powerful multimodal integration, and a competitive pricing structure. Architecture and Capabilities Llama4-Maverick-Instruct-Basic employs

Introducing OpenAI GPT-4.1: Enhanced Performance, Cost-Efficiency, and Developer-Friendly Features

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Introducing OpenAI GPT-4.1: Enhanced Performance, Cost-Efficiency, and Developer-Friendly Features

OpenAI has unveiled GPT-4.1, marking a major advancement in their series of powerful language models. Designed with significant improvements over its predecessors, GPT-4.1 provides developers and organizations with enhanced performance, greater cost-efficiency, and robust features tailored specifically for coding and long-context applications. Key Features and Improvements of GPT-4.