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Description
Belva's AiDB is an innovative database optimized for artificial intelligence, specifically tailored to enhance large language models by automatically generating relational maps that improve the model's intelligence with every new input, all while utilizing fewer context tokens and yielding superior outcomes without requiring additional tuning. With just 15 lines of code, you can establish a knowledge base that boosts AI capabilities, minimizes context token consumption, and easily adapts to increasing demands. The setup for AiDB takes only 5 minutes, making it a more efficient choice than custom retrieval-augmented generation systems. One API key is all you need to harness the power of AiDB. Transitioning to AiDB allows your language models to achieve more with minimal coding. At Belva, we have redefined the way artificial intelligence interacts with data. Thanks to our innovative indexing and relational mapping techniques, traditional context windows become almost unnecessary. By incorporating AiDB into your technology stack, you will witness remarkable improvements in your AI's performance. If your AI relies on or requires a knowledge base, AiDB is an essential addition. Enhanced efficiency translates to reduced resource wastage as you scale up operations, making AiDB an indispensable tool for modern AI solutions.
Description
CodeQwen serves as the coding counterpart to Qwen, which is a series of large language models created by the Qwen team at Alibaba Cloud. Built on a transformer architecture that functions solely as a decoder, this model has undergone extensive pre-training using a vast dataset of code. It showcases robust code generation abilities and demonstrates impressive results across various benchmarking tests. With the capacity to comprehend and generate long contexts of up to 64,000 tokens, CodeQwen accommodates 92 programming languages and excels in tasks such as text-to-SQL queries and debugging. Engaging with CodeQwen is straightforward—you can initiate a conversation with just a few lines of code utilizing transformers. The foundation of this interaction relies on constructing the tokenizer and model using pre-existing methods, employing the generate function to facilitate dialogue guided by the chat template provided by the tokenizer. In alignment with our established practices, we implement the ChatML template tailored for chat models. This model adeptly completes code snippets based on the prompts it receives, delivering responses without the need for any further formatting adjustments, thereby enhancing the user experience. The seamless integration of these elements underscores the efficiency and versatility of CodeQwen in handling diverse coding tasks.
API Access
Has API
API Access
Has API
Integrations
Alibaba Cloud
AtCoder
Belva Engineer
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
GPT-4
Hugging Face
Integrations
Alibaba Cloud
AtCoder
Belva Engineer
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
GPT-4
Hugging Face
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Belva
Country
United States
Website
www.belva.ai/aidb
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
github.com/QwenLM/CodeQwen1.5