MosaicML Foundations has made a significant contribution to this space with the introduction of MPT-7B, their latest open-source LLM. MPT-7B, an acronym for MosaicML Pretrained Transformer, is a ...

The press statement issued by MU stated that LLM entrance examination is set for November 10, at various exam centers. The PET exam will take place in the second week of November, with the exact ...

Imagine having the power of advanced artificial intelligence right at your fingertips, without needing a supercomputer or a hefty budget. For many of us, the idea of running sophisticated language ...

Scores of 6 or less are unlikely to be valid. The output looks something like this: scratchpad: 1. Analyzing the add_llm function in llm_app.py. 2. Identified user input used as keys to access ...

Addressing these issues requires a lightweight, flexible, and efficient approach that reduces friction in LLM research. Meta AI releases Meta Lingua: a minimal and fast LLM training and inference ...

Microsoft recently open-sourced bitnet.cpp, a super-efficient 1-bit LLM inference framework that runs directly on CPUs, meaning that even large 100-billion parameter models can be executed on local ...

The large language model (LLM) checker, looked into AI models developed by Alibaba, Anthropic, OpenAI, Meta, and Mistral AI, which all received an average score of 0.75 or above. It looked at ...

Last month, UAE-based technology firm G42 unveiled its new Hindi Large Language Model (LLM) called Nanda. Today, over in the Qualcomm booth at IMC 2024, the model was demoed for the first time ever by ...

Do you want your data to stay private and never leave your device? Cloud LLM services often come with ongoing subscription fees based on API calls. Even users in remote areas or those with ...

Train a new classifier with just a prompt. No data needed -- but add data to boost, if you have it. from lamini import LaminiClassifier llm = LaminiClassifier() prompts={ "cat": "Cats are generally ...

DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs.

This advanced programme helps students gain a deep appreciation of how law interacts with technological innovation, for instance, with generative AI; or autonomous vehicles; or algorithmic ...