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How to Build & Serve Private LLMs - (1) Introduction

Machine Learning

10 July 2024

How to Build & Serve Private LLMs - (1) Introduction

How to Build & Serve Private LLMs - Introduction

How to Build & Serve Private LLMs - (2) RAG

Machine Learning

12 July 2024

How to Build & Serve Private LLMs - (2) RAG

How to Build & Serve Private LLMs - RAG

Mastering MLOps: A Step-by-Step Guide with VESSL

Machine Learning

08 July 2024

Mastering MLOps: A Step-by-Step Guide with VESSL

Discover how MLOps streamlines the Machine Learning lifecycle, with a detailed look at VESSL's capabilities

10 Highlights from NeurIPS 2023

Machine Learning

11 January 2024

10 Highlights from NeurIPS 2023

VESSL AI was at NeurIPS 2023 — Here are the 10 trends & highlights

New models on VESSL Hub — December 2023

Machine Learning

16 January 2024

New models on VESSL Hub — December 2023

5 new models we uploaded on VESSL Hub — Llama2-7B, Mistral-7B, SSD-1B, and more

3 Multi-modal models & papers from NeurIPS 2023 — Try them out now at VESSL Hub

Machine Learning

24 January 2024

3 Multi-modal models & papers from NeurIPS 2023 — Try them out now at VESSL Hub

Run LLaVa, MusicGen, MotionGPT at VESSL Hub

5 Highlight papers from EMNLP 2023 — Try them out at VESSL Hub

Machine Learning

28 December 2023

5 Highlight papers from EMNLP 2023 — Try them out at VESSL Hub

VESSL AI was at EMNLP 2023 — Here are 5 papers that we found the most interesting

3 YAMLs we shared at MLOps World — Llama2c playground to production

Machine Learning

17 November 2023

3 YAMLs we shared at MLOps World — Llama2c playground to production

LLMOps infrastructure for prototyping, fine-tuning, and deploying LLM, simplified into 3 YAMLs

Train Balloon Segmentation Model on VESSL

Machine Learning

21 November 2022

Train Balloon Segmentation Model on VESSL

Getting started with MLOps with git-committed code, versioned datasets, and experiment tracking

Introducing tvault

Machine Learning

27 April 2023

Introducing tvault

a lightweight local registry for storing and comparing PyTorch models

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