Deep Lake

Deep Lake

activeloop
LLaMA-Factory

LLaMA-Factory

hoshi-hiyouga
+
+

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About

Generative AI may be new, but we've been building for this day for the past 5 years. Deep Lake thus combines the power of both data lakes and vector databases to build and fine-tune enterprise-grade, LLM-based solutions, and iteratively improve them over time. Vector search does not resolve retrieval. To solve it, you need a serverless query for multi-modal data, including embeddings or metadata. Filter, search, & more from the cloud or your laptop. Visualize and understand your data, as well as the embeddings. Track & compare versions over time to improve your data & your model. Competitive businesses are not built on OpenAI APIs. Fine-tune your LLMs on your data. Efficiently stream data from remote storage to the GPUs as models are trained. Deep Lake datasets are visualized right in your browser or Jupyter Notebook. Instantly retrieve different versions of your data, materialize new datasets via queries on the fly, and stream them to PyTorch or TensorFlow.

About

​LLaMA-Factory is an open source platform designed to streamline and enhance the fine-tuning process of over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It supports various fine-tuning techniques, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models efficiently. It has demonstrated significant performance improvements; for instance, its LoRA tuning offers up to 3.7 times faster training speeds with better Rouge scores on advertising text generation tasks compared to traditional methods. LLaMA-Factory's architecture is designed for flexibility, supporting a wide range of model architectures and configurations. Users can easily integrate their datasets and utilize the platform's tools to achieve optimized fine-tuning results. Detailed documentation and diverse examples are provided to assist users in navigating the fine-tuning process effectively.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers in search of a tool to store, deploy, and fine-tune their own LLM models

Audience

AI researchers and developers wanting a solution to fine-tune a wide array of language and vision-language models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$995 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

activeloop
United States
www.activeloop.ai/

Company Information

hoshi-hiyouga
github.com/hiyouga/LLaMA-Factory

Alternatives

Alternatives

Nomic Atlas

Nomic Atlas

Nomic AI

Categories

Categories

Integrations

OpenAI
ChatGLM
ChatGPT
DeepSeek
Gemma
Google Cloud Platform
LLaVA
LangChain
Llama
Llama 3
MLflow
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
PaliGemma 2
PyTorch
Qwen
TensorBoard
TensorWave
Yi-Large

Integrations

OpenAI
ChatGLM
ChatGPT
DeepSeek
Gemma
Google Cloud Platform
LLaVA
LangChain
Llama
Llama 3
MLflow
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
PaliGemma 2
PyTorch
Qwen
TensorBoard
TensorWave
Yi-Large
Claim Deep Lake and update features and information
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