Cohere.com vs Defog SQLCoder
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
It offers an API to add cutting-edge language processing to any system. Through training, users can create massive models customized to their use case and trained on their data. | It is a state-of-the-art LLM for converting natural language questions to SQL queries. It has been fine-tuned on hand-crafted SQL queries in increasing orders of difficulty. It significantly outperforms all major open-source models and slightly outperforms gpt-3.5-turbo. |
Make your products understand text;
Make your products generate or summarize text;
Accelerate the next wave of productivity | LLM for SQL generation;
Significantly outperforms all major open-source models;
Fine-tuned implementation of StarCoder |
Statistics | |
GitHub Stars - | GitHub Stars 3.9K |
GitHub Forks - | GitHub Forks 266 |
Stacks 28 | Stacks 1 |
Followers 2 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Cohere.com, Defog SQLCoder?
Grok-1
It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.
Grok 4
Try Grok 4 on GPT Proto. Access xAI’s most advanced 1.7T LLM with 130K context, multimodal support, and real-time data integration for dynamic analysis.
OpenAI
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Claude
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Google Gemini
It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.
LLaMA
It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.
GPT-4 by OpenAI
It is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities.
Whisper
It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
Mistral 7B
It is a small, yet powerful model adaptable to many use cases. It is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. We made it easy to deploy on any cloud.
DeepSeek Coder
It is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language. There are various sizes of the code model, ranging from 1B to 33B versions.
