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Get Embeddings From Mistral v0.3 Locally
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Helping startup clients harness and deploy the power of AI/ML to drive results.
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- Video is about getting embeddings from Mistra v3 model using Ollama.
Mistral v3 is a new model that came out it has many benifits.
The Mistral v3.0 model brings significant advancements in AI technology with its new architectural features, including Sliding Window Attention and Grouped Query Attention (GQA), which enhance long-sequence processing and speed up inference. It includes improved instruction-tuned models for better chat interactions and supports Flash Attention 2 for faster execution. The model also offers quantization to reduce memory usage, making it highly efficient. Available on the Hugging Face platform, Mistral v3.0 is optimized for diverse applications, ensuring robust performance and scalability, particularly through its partnership with Microsoft Azure.
Langchain or LlamaIndex?
LlamaIndex is your go-to solution for streamlined search and retrieval applications. Tailored for efficiency, it simplifies LLM querying and ensures relevant document retrieval based on user input. Ideal for focused applications demanding simplicity and speed.
On the flip side, LangChain offers a broader toolkit for crafting versatile LLM-powered applications. From data loading to customization, LangChain empowers developers with flexibility beyond search and retrieval. Perfect for projects requiring adaptability and extensibility.
Contact me for your project?
- Video is about getting embeddings from Mistra v3 model using Ollama.
Mistral v3 is a new model that came out it has many benifits.
The Mistral v3.0 model brings significant advancements in AI technology with its new architectural features, including Sliding Window Attention and Grouped Query Attention (GQA), which enhance long-sequence processing and speed up inference. It includes improved instruction-tuned models for better chat interactions and supports Flash Attention 2 for faster execution. The model also offers quantization to reduce memory usage, making it highly efficient. Available on the Hugging Face platform, Mistral v3.0 is optimized for diverse applications, ensuring robust performance and scalability, particularly through its partnership with Microsoft Azure.
Langchain or LlamaIndex?
LlamaIndex is your go-to solution for streamlined search and retrieval applications. Tailored for efficiency, it simplifies LLM querying and ensures relevant document retrieval based on user input. Ideal for focused applications demanding simplicity and speed.
On the flip side, LangChain offers a broader toolkit for crafting versatile LLM-powered applications. From data loading to customization, LangChain empowers developers with flexibility beyond search and retrieval. Perfect for projects requiring adaptability and extensibility.
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