Fireworks AI Unveils Firefunction-v2, Tool-Calling Model Competing with GPT4-o at 2.5x the Speed, Cost-Effective
Fireworks AI has released Firefunction-v2, an open-weights function-calling model built on Llama 3-70B. It offers tool-calling accuracy comparable to GPT4-o, faster inference speeds, and is cost-effective. The model is designed for tool use and function calling, promising improved agent capabilities.
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Marktechpost AI Dev News ⚡
Fireworks AI Releases Firefunction-v2: An Open Weights Function Calling Model with Function Calling Capability on Par with GPT4o at 2.5x the Speed and 10% of the Cost Full read: https://t.co/XWL7bnO4WV Hugging Face model page: https://t.co/ZgZ6uCAmi6 Model playground:… https://t.co/IYBKwmeCgq
DeepLearning.AI Introducing Function-Calling and Data Extraction with LLMs, a short course made in collaboration with @NexusflowX, taught by @JiantaoJ and @VenkatKSrini. Learn to apply function-calling to expand your LLM and agent application capabilities. Join now: https://t.co/31v3MjgcIK
LangChain Fully-local function calling w/ llamacpp 🤖 Function calling allows an LLM to connect with external tools, which is central to building agents. But, tool calling with local LLMs has been a challenge. Improved open weights LLMs, such as Llama 3, and fine-tuning efforts are now… https://t.co/0zM8ULYwj0
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