TL;DR:The reasoning capabilities of LLMs enable them to execute multiple function calls, using user-provided functions to overcome their inherent limitations (e.g. knowledge cutoffs, poor arithmetic skills, or lack of access to private data). While multi-function calling allows them to tackle mo...
a team of researchers from UC Berkeley, ICSI, and LBNL have developed LLMCompiler, a framework designed to enhance the efficiency and accuracy of LLMs in such tasks. LLMCompiler enables parallel execution of function calls through its components: ...
By performing approximate sequential verification, SPRINTER does not require verification by the target LLM and is only invoked when a token is deemed unacceptable. This leads to reducing the number of calls to the larger LLM and can achieve further speedups. We present a theoretical analysis of ...
SpanAttributes.LLM_COMPLETIONS.0.finish_reason: tool_calls SpanAttributes.LLM_REQUEST_FUNCTIONS.0.parameters: '{"type": "object", "properties": {"city": {"type": "string"}}}' SpanAttributes.LLM_REQUEST_FUNCTIONS.1.parameters: '{"type": "object", "properties": {"city": {"type": "str...
Large Language Models (LLMs) have shown remarkable results on various complex reasoning benchmarks. The reasoning capabilities of LLMs enable them to execute function calls, using user-provided functions to overcome their inherent limitations, such as knowledge cutoffs, poor arithmetic skills, or lac...
In this work, motivated by the thinking and writing process of humans, we propose Skeleton-of-Thought (SoT), which first guides LLMs to generate the skeleton of the answer, and then conducts parallel API calls or batched decoding to complete the contents of each skelet...
llm_with_tools = llm.bind_tools(tools, parallel_tool_calls=False)llm_with_tools.invoke("Please call the first tool two times").tool_calls[{'name': 'add', 'args': {'a': 2, 'b': 2}, 'id': 'call_Hh4JOTCDM85Sm9Pr84VKrWu5'}]As we can see, even though we explicitly told ...
Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters by K.C. Tung, Jeffrey Huynh, and Shruti Koparkar on 16 FEB 2023 in Amazon Machine Learning, Artificial Intelligence, Compute, Generative AI Permalink Comments Share Modern model pre-training often calls for larger ...
FunctionCallingAgentWorker类具有一个默认值为True的allow_parallel_tool_calls属性。以下是如何使用allow_...
You also have to change your malloc/new and free/delete calls to cudaMallocManaged and cudaFree so that you are allocating space on the GPU. Finally, you need to wait for a GPU calculation to complete before using the results on the CPU, which you can accomplish with cudaDeviceSynchronize...