HyperHRT - Instant serverless finetuning
LLM alternative with instant & real-time fine-tuning
Listed in categories:
StorageDAppArtificial Intelligence
Description
HyperCrawl is the first web crawler designed specifically for LLM and RAG applications, developed to enhance retrieval engines. It aims to cut retrieval time significantly and improve efficiency for ML engineers.
How to use HyperHRT - Instant serverless finetuning?
To use HyperCrawl, you can access it anywhere via HyperAPI, install it as a Python library using 'pip install hypercrawl', and work with it regardless of your core infrastructure. It is available both as an API and a Python library, offering versatility and ease of use.
Core features of HyperHRT - Instant serverless finetuning:
1️⃣
Asynchronous IO
2️⃣
Concurrency Management
3️⃣
Efficient Resource Handling
4️⃣
Visited URL Tracking
5️⃣
Nested Event Loop Support
Why could be used HyperHRT - Instant serverless finetuning?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Boosting retrieval process | ✅ | |
| # 2 | Reducing crawl time of domains | ✅ | |
| # 3 | Preventing revisiting and reprocessing of pages | ✅ | |
Who developed HyperHRT - Instant serverless finetuning?
HyperCrawl is a product of HyperLLM, dedicated to building the infrastructure for future LLMs that require fewer computational resources and outperform existing models.