Code Llama vs Vellum
In the battle of Code Llama vs Vellum, which AI Developer tool comes out on top? We compare reviews, pricing, alternatives, upvotes, features, and more.
Between Code Llama and Vellum, which one is superior?
Upon comparing Code Llama with Vellum, which are both AI-powered developer tools, There's no clear winner in terms of upvotes, as both tools have received the same number. Since other aitools.fyi users could decide the winner, the ball is in your court now to cast your vote and help us determine the winner.
Think we got it wrong? Cast your vote and show us who's boss!
Code Llama
What is Code Llama?
Unveil the advanced capabilities of Code Llama, the transformative large language model specially designed for coding applications. Built upon the robust Llama 2 foundation, Code Llama presents a revolutionary tool for developers, aiding in code generation and offering a diverse range of coding solutions. This free-to-use, state-of-the-art model comes in three different versions tailored to meet various requirements, ensuring efficiency and accuracy for both research and commercial uses. Whether you are looking to generate code snippets, complete programming tasks, or debug software, Code Llama facilitates an enhanced coding experience, support for multiple popular languages, and a sophisticated understanding of natural language instructions.
Vellum
What is Vellum?
Vellum emerges as a cutting-edge developer platform dedicated to building and deploying large language model (LLM) applications with efficiency and scale. This robust platform offers an array of tools specifically tailored for prompt engineering, semantic search, version control, quantitative testing, and performance monitoring, making it a perfect fit for developers aiming to leverage the power of LLMs. The platform boasts compatibility with all major LLM providers, including the integration of Microsoft Azure-hosted OpenAI models, establishing a versatile and provider-agnostic environment for app creation.
Developers can indulge in rapid prototyping and iterate on their LLM applications with tools designed for testing and comparing prompts and models. Furthermore, Vellum supports deployment strategies that allow for testing, versioning, and monitoring of live LLM applications, ensuring they perform optimally in real-world scenarios. The platform's workflow capabilities enable the building and maintenance of complex LLM chains, while its collection of test suites assists in evaluating and ensuring the quality of LLM outputs at scale.
For companies looking to innovate within their fields using AI, Vellum serves as a trusted partner to transition from prototype to production seamlessly, with enterprises benefiting from the platform's streamlined API interface and observability tools. Customers praise Vellum for its ease of deployment, robust error-checking capabilities, and the ability to facilitate collaboration across diverse teams. Vellum positions itself as the go-to developer platform for those who seek to focus on delivering customer-centric AI applications without the overhead of complex AI tooling.
Code Llama Upvotes
Vellum Upvotes
Code Llama Top Features
Multiple Model Sizes: Offers 7B, 13B, and 34B parameter models to cater to different performance and latency needs.
Code-Specific Fine-Tuning: Includes specialized variations, such as Code Llama - Python and Code Llama - Instruct for Python and instruction aligned tasks.
Enhanced Context Understanding: Trained for up to 100,000 tokens of context for better code relevance and debugging large codebases.
Benchmarks and Testing: Superior performance to other state-of-the-art LLMs on coding tasks proven by HumanEval and MBPP benchmarks.
Responsible AI Development: Rigorous safety measures, including red teaming efforts, ensure responsible creation and use of AI models.
Vellum Top Features
Prompt Engineering Tools: Simplify the development of prompts with collaboration and testing tools.
Version Control System: Efficiently track and manage changes in your LLM applications.
Provider Agnostic Architecture: Choose from various LLM providers and seamlessly switch as needed.
Production-grade Monitoring: Observe and analyze model performance with advanced observability.
Easy API Integration: Integrate LLM applications with a simplified and low-latency API interface.
Code Llama Category
- Developer
Vellum Category
- Developer
Code Llama Pricing Type
- Freemium
Vellum Pricing Type
- Freemium