Terracotta vs Llama 2
In the contest of Terracotta vs Llama 2, which AI Large Language Model (LLM) tool is the champion? We evaluate pricing, alternatives, upvotes, features, reviews, and more.
Terracotta
What is Terracotta?
Terracotta is a cutting-edge platform designed to enhance the workflow for developers and researchers working with large language models (LLMs). This intuitive and user-friendly platform allows you to manage, iterate, and evaluate your fine-tuned models with ease. With Terracotta, you can securely upload data, fine-tune models for various tasks like classification and text generation, and create comprehensive evaluations to compare model performance using both qualitative and quantitative metrics. Our tool supports connections to major providers like OpenAI and Cohere, ensuring you have access to a broad range of LLM capabilities. Terracotta is the creation of Beri Kohen and Lucas Pauker, AI enthusiasts and Stanford graduates, who are dedicated to advancing LLM development. Join our email list to stay informed on the latest updates and features that Terracotta has to offer.
Llama 2
What is Llama 2?
The next generation of our open source large language model
This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters.
Llama 2 was trained on 40% more data than Llama 1, and has double the context length.
Training Llama-2-chat: Llama 2 is pretrained using publicly available online data. An initial version of Llama-2-chat is then created through the use of supervised fine-tuning. Next, Llama-2-chat is iteratively refined using Reinforcement Learning from Human Feedback (RLHF), which includes rejection sampling and proximal policy optimization (PPO).
Meta and Microsoft have partnered to unveil Llama 2, the open-source successor to their widely-utilized large language model, Llama. This groundbreaking model is designed to enhance the capabilities of AI, offering it free for both research and commercial use. Recognized as the preferred partner, Microsoft is integrating Llama 2 into its Azure AI model catalog, providing developers with robust cloud-native tools and optimization for Windows platforms.
Llama 2 is also accessible through other major providers like AWS and Hugging Face. Dedicated to responsible AI innovation, Meta and Microsoft emphasize transparency and community-oriented development with resources like red-teaming exercises, a transparency schematic, and a responsible use guide. Collaborative initiatives such as the Open Innovation AI Research Community and the Llama Impact Challenge are also part of the rollout, aiming to spur responsible applications of Llama 2 across various sectors.
Terracotta Upvotes
Llama 2 Upvotes
Terracotta Top Features
Manage Many Models: Centrally handle all your fine-tuned models in one convenient place.
Iterate Quickly: Streamline the process of model improvement with fast qualitative and quantitative evaluations.
Multiple Providers: Seamlessly integrate with services from OpenAI and Cohere to supercharge your development process.
Upload Your Data: Upload and securely store your datasets for the fine-tuning of models.
Create Evaluations: Conduct in-depth comparative assessments of model performances leveraging metrics like accuracy BLEU and confusion matrices.
Llama 2 Top Features
Llama 2 models are trained on 2 trillion tokens and have double the context length of Llama 1. Llama-2-chat models have additionally been trained on over 1 million new human annotations.
Llama 2 outperforms other open source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests.
Llama-2-chat uses reinforcement learning from human feedback to ensure safety and helpfulness.
Free Access: Llama 2 is available at no cost for both research and commercial endeavors.
Enhanced Partnership: Meta has selected Microsoft as the preferred partner for the Llama 2 model.
Open Source Innovation: Emphasizing an open-source ethos, Meta and Microsoft back community-driven AI advancements.
Comprehensive Support: Resources such as red-teaming, transparency schematicsand a responsible use guide are provided to promote safe and responsible AI usage.
Community Engagement: Initiatives like the Open Innovation AI Research Community and Llama Impact Challenge to drive collective progress in AI development
Terracotta Category
- Large Language Model (LLM)
Llama 2 Category
- Large Language Model (LLM)
Terracotta Pricing Type
- Freemium
Llama 2 Pricing Type
- Free
Terracotta Tags
Llama 2 Tags
If you had to choose between Terracotta and Llama 2, which one would you go for?
When we examine Terracotta and Llama 2, both of which are AI-enabled large language model (llm) tools, what unique characteristics do we discover? The community has spoken, Llama 2 leads with more upvotes. Llama 2 has been upvoted 7 times by aitools.fyi users, and Terracotta has been upvoted 6 times.
Don't agree with the result? Cast your vote and be a part of the decision-making process!