01-ai/Yi-9B · Hugging Face ### Building the Next Generation of Open-Source and Bilingual LLMs 🤗 Hugging Face • 🤖 ModelScope • ✡️ WiseModel 👋 Join us 💬 WeChat (Chinese) ! * * * 📕 Table of Contents * * * # What is Yi? ## Introduction * 🤖 The Yi se...
fun - The simplest but powerful way to use large language models (LLMs) in Go. ⬆ back to top Audio and Music Libraries for manipulating audio. Oto - A low-level library to play sound on multiple platforms. Stars:1.5K. PortAudio - Go bindings for the PortAudio audio I/O library. St...
Frames are encoded independently and concatenated to input into LLM. Figure 2: Tarsier Model Structure. Two-stage Training Tarsier tasks a two-stage training strategy. Stage-1: Multi-task Pre-training on 13M data Stage-2: Multi-grained Instruction Tuning on 500K data In both stages, we ...
“call”that function, retrieve its response, and pass that back to the user. This process conceptually works the same for both the Assistant and Chat Completions APIs. I use the word“call”loosely because the main difference in function calling between the two AP...
As you can see, 'function call' now works. additional_kwargs also contains non-empty usage. But token_usage in llm_output is still empty.[llm/end] [1:chain:AgentExecutor > 2:llm:QianfanChatEndpointHacked] [2.21s] Exiting LLM run with output: { "generations": [ [ { "text": "", ...