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Programmatically manage 🤗 Inference Endpoints

philschmid.de·125w

Deploy Mixtral 8x7B on Amazon SageMaker

philschmid.de·126w

Deploy Embedding Models on AWS inferentia2 with Amazon SageMaker

philschmid.de·129w

Deploy Llama 2 7B on AWS inferentia2 with Amazon SageMaker

philschmid.de·130w

Deploy Stable Diffusion XL on AWS inferentia2 with Amazon SageMaker

philschmid.de·131w

Amazon Bedrock: How good (bad) is Titan Embeddings?

philschmid.de·131w

Evaluate LLMs and RAG a practical example using Langchain and Hugging Face

philschmid.de·132w

Deploy Idefics 9B and 80B on Amazon SageMaker

philschmid.de·135w

Train and Deploy Mistral 7B with Hugging Face on Amazon SageMaker

philschmid.de·136w

Llama 2 on Amazon SageMaker a Benchmark

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Fine-tune Falcon 180B with DeepSpeed ZeRO, LoRA and Flash Attention

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Fine-tune Falcon 180B with QLoRA and Flash Attention on Amazon SageMaker

philschmid.de·139w

Deploy Falcon 180B on Amazon SageMaker

philschmid.de·140w

Optimize open LLMs using GPTQ and Hugging Face Optimum

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LLMOps: Deploy Open LLMs using Infrastructure as Code with AWS CDK

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Deploy Llama 2 7B/13B/70B on Amazon SageMaker

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Introducing EasyLLM - streamline open LLMs

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Extended Guide: Instruction-tune Llama 2

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LLaMA 2 - Every Resource you need

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Fine-tune LLaMA 2 (7-70B) on Amazon SageMaker

philschmid.de·147w

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