New flagship and advanced LLM from MistralAI with a 32K context window ??
Welcome to the?latest edition of the AI in 5 newsletter with Clarifai!
Every week, we bring you the models, tools and tips to build production-ready AI!
This week, we bring you: ??
Before diving into this week's updates...
Clarifai is named a Leader in The Forrester Wave?: Computer Vision Tools, Q1 2024.
New models from Mistral AI available in the Clarifai Platform??
Mistral-Large: Mistral-large is MistralAI's flagship large and most advanced LLM, renowned for its robust multilingual capabilities, advanced reasoning skills, mathematical prowess, and proficient code generation abilities.
The model has a 32K tokens context window that allows precise information recall from large documents.?
Mistral-Medium: This is a?medium-sized model that also supports a context window of 32k tokens and is stronger than?Mixtral 8x7B and Mistral-7b on benchmarks across the board.
The model is most capable of intermediate tasks that require moderate reasoning, such as data extraction, document summarization, email writing, and job description writing.
Mistral-Small: This is a balanced and efficient language model offering high performance across various tasks with lower cost and latency.
The model is best suited for simple tasks such as classification, customer support, or text generation.
领英推荐
Cross-modal search in Python ??
Cross-modal search allows users to query across diverse data types, such as text, images, audio, and video.
It breaks down the barriers between different data modalities, offering a more holistic and intuitive search experience.?
This notebook provides an introductory guide to setting up a text-to-image search system in Python using only a few lines of code.??
Text fine-tuning templates ??
Text fine-tuning templates allow you to leverage pre-trained language models and refine them through additional training on specific tasks or datasets, customizing them for precise use cases.
Some of the templates include Mistal-7B, Llama 2-Chat, and GPT-Neo.
Each template comes with its own hyperparameters, which you can tune to influence how your model learns. Some of them include Quantization config, Peft config, Tokenizer config, and Trainer config.
Read more about the text fine-tuning templates here.
AI tip of the week: ??
Integrate any model from the Clarifai community into your app with just a few lines of code.
You can access the code for any model on the Clarifai Platform by selecting the "Use Model" button on the model page.
This lets you use the model via an API with various Clarifai Client Libraries like Python, JavaScript, Java, cURL, Node.js, and PHP.
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