Explore and Interact with Open Source LLMs: Top 5 Free AI Playgrounds

Explore and Interact with Open Source LLMs: Top 5 Free AI Playgrounds

Table of Contents

• Introduction
• The Role of Open Source in AI Growth
• Top Five Free Large Language Model Playgrounds
  • Versal AI Playground
  • Selecting the Model
  • Comparing Different Models
  • Adding and Removing Models
  • The Prompt Tab
  • Hugging Face Chat
  • Selecting Models
  • Customizing the System Prompt
  • Going to the Internet
  • Perplexity Labs
  • AI Conversation-Based Search Engine
  • Metrics and Weight Selection
  • Replicate
  • Hosting and Running ML Models
  • Simple Chat Interface
  • Chatbot Arena
  • Blind Test Interaction
  • Choosing the Better Answer
  • Single Model Interaction
  • Leaderboard
  • Petals
  • Decentralized Platform for Running Inferences
  • Falcon Model
• Conclusion

Top Five Free Large Language Model Playgrounds

In the past few years, the field of artificial intelligence has witnessed tremendous growth, particularly in regards to Large Language Models. This growth has been fueled by advancements in open-source technology, with even major companies like Meta now open-sourcing their own models. However, as these models become larger and more complex, it can be challenging for individuals to experiment with them on their local machines due to limitations in computing power and technical expertise. Thankfully, there are several free large language model playgrounds available that allow users to explore and interact with these models without the need for high computing power or technical complexities. In this article, we will explore the top five free large language model playgrounds offered by various institutions and companies.

Versal AI Playground

One of the popular playgrounds for front-end developers is the Versal AI Playground. In addition to supporting various JavaScript frameworks, Versal also offers a range of tools and products for production deployment. The AI Playground provided by Versal allows users to experiment with open-source large language models without having to worry about high computing power or technical complexities. The playground offers a dropdown menu where users can select the model they want to interact with. While some models may require a pro subscription, there are plenty of free options available from institutions like Meta and Hugging Face. A noteworthy feature of this playground is the ability to compare different models using the same prompt. Users can select different models from the dropdown menu and compare their generated responses. The playground also allows users to add or remove models for comparison, providing a versatile platform for exploring large language models.

Hugging Face Chat

Hugging Face is a well-known hub for open-source language models, making it a popular choice for AI enthusiasts. The Hugging Face Chat playground offers users the opportunity to interact with various models and collaborate with the wider community. Similar to the Versal AI Playground, users can select the model they want to experiment with. While the model variety may not be as extensive as some other playgrounds, Hugging Face still offers a range of options. One unique feature of this playground is the ability to customize the system prompt, providing users with more control and direction. Additionally, users can access the actual model page on Hugging Face for more detailed information. The platform also provides a button to access the internet, allowing users to complement the model's response with information from the web. Overall, Hugging Face Chat is a comprehensive playground that caters to the needs of AI enthusiasts and encourages collaboration within the community.

Perplexity Labs

Perplexity Labs offers an AI conversation-based search engine that hosts the Meta Llama 2 model. This unique playground allows users to interact with the model through conversation-style queries. Users can input prompts and receive quick responses from the model. The platform also provides metrics on inference speeds and token generation, offering insights into the model's performance. Users can experiment with different weights to understand the impact on response quality. Additionally, Perplexity Labs hosts the Meta Llama 270b model, providing users with another option to explore. While the platform does not offer extensive interaction features, it serves as a convenient tool for users looking for straightforward AI conversation-based queries.

Replicate

Replicate is a platform that enables users to host and run different machine learning models. It offers diverse models that can be incorporated using APIs, making it an appealing choice for AI developers. While the platform may not have extensive interaction features, it provides a simple chat interface for users to interact with the hosted Meta Llama 270b model. Users can input prompts and receive responses from the model using the chat interface. Replicate's focus lies in providing a robust hosting and running environment for machine learning models, making it a valuable resource for AI developers seeking efficient deployment.

Chatbot Arena

Chatbot Arena is a platform developed by LMSYS students and researchers at UC Berkeley. It offers three different modes of interaction with various models, providing users with a variety of options for exploration. The first mode is a blind test, where users are unaware of the model they are interacting with. Users input prompts, receive responses, and provide feedback without knowing the model's identity. This mode helps remove bias and allows for unbiased evaluation. In the Second mode, users can select two models and compare their output, choosing the better answer based on their judgment. The platform also includes a single model mode, where users can interact with a specific model without comparison. Additionally, Chatbot Arena features a leaderboard that scores models based on various metrics, offering valuable insights into model performance and effectiveness.

Petals

Petals is a decentralized and distributed platform that enables users to run inferences against large models without requiring extensive hardware resources. It utilizes a decentralized network to run models, eliminating the need for users to set up their own infrastructure. One of the notable models available on Petals is the Falcon 180p model, which is among the largest open-source models. Running this model on local machines would require significant memory and disk space. However, Petals allows users to test drive the Falcon model without the need for their own hardware resources. This platform provides four different families of models, each with its own set of offerings. The Falcon 180p model, in particular, showcases the remarkable speed at which inferences can be generated on the Petals network. With its decentralized and distributed approach, Petals offers a unique and accessible playground for exploring large language models.

Conclusion

As AI continues to evolve and large language models become increasingly sophisticated, the availability of free large language model playgrounds becomes invaluable. These playgrounds allow enthusiasts to experiment with different models, compare responses, and gain valuable insights. In this article, we explored the top five free large language model playgrounds, including Versal AI Playground, Hugging Face Chat, Perplexity Labs, Replicate, and Chatbot Arena. Each of these playgrounds offers unique features and functionalities, catering to the diverse needs of AI developers and enthusiasts. Additionally, Petals provides a Novel decentralized platform for running inferences against large models. By eliminating the need for extensive hardware resources, Petals makes exploring and testing large language models more accessible than ever before. Whether you're a front-end developer, a researcher, or an AI enthusiast, these free large language model playgrounds offer a valuable opportunity to delve into the exciting world of AI and language modeling.

Highlights:

• Explore and interact with large language models without the need for high computing power or technical complexities
• Comparison of different models using the same prompt
• Customize system prompt and access model information on Hugging Face Chat
• Metrics and weight selection in Perplexity Labs
• Host and run machine learning models on Replicate
• Blind test, model comparison, and single model interaction on Chatbot Arena
• Decentralized platform for running inferences on large models - Petals

FAQ

Q: Are these playgrounds suitable for beginners? A: Yes, these playgrounds offer user-friendly interfaces and are suitable for beginners who want to explore large language models.

Q: Can I use these playgrounds for commercial purposes? A: It depends on the terms and conditions of each playground. Some may have limitations on commercial usage, so it is important to review their policies.

Q: Can I run my own models on these playgrounds? A: The playgrounds mentioned in this article primarily offer pre-trained models. However, some playgrounds, like Replicate, allow users to host and run their own machine learning models.

Q: Do these playgrounds require any installation or setup? A: No, these playgrounds are web-based and do not require any installation or setup. Users can access them directly through their web browsers.

Q: Are there any limitations on the number of queries or interactions I can make on these playgrounds? A: Some playgrounds may have limitations on the number of queries or interactions for free users. However, registering an account or subscribing to a pro plan may provide additional benefits and remove these limitations.

Resources:

• Versal AI Playground
• Hugging Face Chat
• Perplexity Labs
• Replicate
• Chatbot Arena
• Petals