We are also releasing the weights on HuggingFace! https://
huggingface.co/mistralai/Code
stral-22B-v0.1
… More details on our blogpost:
CODE
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Mistral AI Releases Codestral-22B Model Weights on HuggingFace
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Codestral-22B: New Code Model Outperforms Larger Models
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Today we are releasing Codestral-22B, our first code model! Codestral is trained on more than 80 programming languages and outperforms the performance of previous code models, including the largest ones. It is available on our API platform, through instruct and
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Mistral AI Launches Codestral with Non-Production License
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With Codestral, our newest state-of-the-art code model, we are introducing the Mistral AI non-production license (MNPL). It allows developers to use our technology for non-commercial use and research. It ensures that every actor on the value chain builds successful businesses.
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Daily content sharing on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Pandas AI: Data Cleaning, Feature Engineering and Visualization
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With Pandas AI you can: → Clean the Data → Impute missing values → Generate New features → Analyze and manipulate the data Not just that you can also ask it to plot the charts: Here is plotting Histogram with Pandas AI:
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PandasAI: Generative AI for Natural Language Data Analysis
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Python library that adds Generative AI capabilities to Pandas Introducing PandasAI, now you can analyze complex data frames and plot visualizations just by using natural language:
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AI Model Reproducibility and Training Data Transparency Issues
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The models are trained with unknown data, they are neither theoretically reproducible. Nor are they practically reproducible since there's no training code and details matter.
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FineWeb Extended Report and Blog Post Coming Soon
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We're finishing a pretty awesome extended blogpost/report on FineWeb in which you'll find all the info – stay tuned!
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Building and Deploying Custom AI Assistants with RAG
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Step-by-step tutorial on building and deploying custom AI assistants with RAG without writing a single line of Python Code.
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RAG Evaluation Playground for GPT-4o Llama Mixtral Claude
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RAG Evaluation Playground
— Shubham Saboo (@Saboo_Shubham_) 29 mai 2024
Run GPT-4o, Llama, Mixtral, and Claude on the same screen to evaluate the best the LLM for your RAG pipeline.
Works with multiple questions and multiple LLMs at the same time. pic.twitter.com/MsBnGiT8kTRAG Evaluation Playground Run GPT-4o, Llama, Mixtral, and Claude on the same screen to evaluate the best the LLM for your RAG pipeline. Works with multiple questions and multiple LLMs at the same time.