Speculative decoding works well when most of the tokens from the draft model are accepted by the larger model. That's more likely to happen if the models are trained on similar data. One way to increase the chance of accepting a draft token is with the parameter `--delta`. This parameter...
LLM models such as Dall-E, Stable Diffusion (used by Stability), Midjourney, Imagen (by Google), GauGAN (by Nvidia), Pixray, etc. are capable of generating images from the supplied input text or prompt. Spring AI module hasbuiltin support for text-to-image generationusing the following p...
MODEL_NAME: Set this to the name of the model you wish to use, as given on the Hugging Face site. You can check what models vLLM supports to find out more. Click the model name copy icon on the Hugging Face page to copy the appropriate value. If not provided, the meta-llama/Meta...
Gen AI LLM Model Comparison (with the most known models, like Claude3.5, Chagpt-4o, Llama, others) Where may I find a list of models with attributes? Example: I would like to understand if a model could be good for mathematics, a...
SwiftUI View to display property information based on Swift's reflection API for any type of value 09 February 2024 macOS A MacOS UI to inter act with Ollama and open source models A MacOS UI to interact with Ollama and open source models. 08 February 2024 Debug Fix every run...
Automated Relevance Evaluation: Employ an LLM to score the relevance of responses based on curated examples, employing an evaluation system. For example, our custom relevance evaluation grades our LLM responses based on a specific measure such as context, references, and c...
16 Jun 2024·Yiming Tang,Bin Dong· Large language models (LLMs) benefit greatly from prompt engineering, with in-context learning standing as a pivital technique. While former approaches have provided various ways to construct the demonstrations used for in-context learning, they often ignore the...
In Spring AI Vector Embedding tutorial, learn what is a vector or embedding, how it helps in semantic searches, and how to generate embeddings using popular LLM models such as OpenAI and Mistral. 1. What is a Vector Embedding? In the context of LLMs, a vector (also calledembedding) is ...
This project is a fully native SwiftUI app that allows you to run local LLMs (e.g. Llama, Mistral) on Apple silicon in real-time using MLX. 04 March 2024 Chat Complete UI for a SwiftUI Chat Application Complete UI for a Chat Application, with lots of features of a real chat ...
`SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models, 2022 <https://arxiv.org/abs/2211.10438>`_ Please refer to the following papers for more details on quantization techniques: `AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration, 2023...