🔍 How Forge is Shaping the Future of LLMs
In this video, we dive deep into how the Forge Reasoning API is transforming the landscape of large language models (LLMs) by enhancing popular models with code interpretation and advanced reasoning abilities. With Forge, models like Hermes 70B are now able to challenge much larger counterparts from OpenAI, Google, and Anthropic in reasoning benchmarks like AIME, a competition known for its high-level math challenges used to qualify for the US Math Olympiad.
📊 Why Does Forge Matter? Benchmarks are one thing, but real-world applications are what truly matter. The Forge API brings versatility and innovation with multiple reasoning architectures, including:
Monte Carlo Tree Search (MCTS): Ideal for planning-based decision-making.
Chain of Code (CoC): Integrates code interpretation for improved performance on math and code-based problems.
Mixture of Agents (MoA): Harnesses the power of multiple models to provide diverse, synthesized answers.
⚙️ Forge Beta Launch Starting today, the Forge API Beta is available to a select group of users, powered by Lambda Labs. Forge offers flexibility in model selection, supporting Hermes 3, Claude Sonnet 3.5, Gemini, GPT 4, and more. Whether you’re tackling single-model reasoning or combining models for added diversity, Forge allows unparalleled customization for solving complex problems.
🔗 Links 🔗
https://nousresearch.com/introducing-...
Forge Updates sign up - https://nousresearch.typeform.com/FOR...
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