AI Language Models

What is cohere.com?

Cohere.com offers a leading AI platform for enterprises, providing large language models (LLMs) that enable the development of secure and powerful text-based applications. Their product lineup includes Coral, a chatbot and knowledge assistant using Retrieval Augmented Generation (RAG), Embed for semantic search in over 100 languages, and Rerank to improve search result relevance. Backed by a team of ML/AI experts, Cohere.com is dedicated to pioneering the future of language AI for businesses.

What are the benefits of cohere.com?

Cohere.com offers a range of notable advantages:

• Cutting-Edge LLMs: Cohere.com provides access to state-of-the-art large language models (LLMs), enabling enterprises to develop robust and secure text-based applications capable of advanced tasks such as searching, comprehending meaning, and engaging in text-based conversations.
• Generative AI Excellence: The platform boasts industry-leading generative models and Retrieval Augmented Generation (RAG) capabilities, representing a crucial combination for unlocking the full potential of generative AI within the enterprise context.
• Multilingual Semantic Search: Cohere.com empowers enterprises to build potent semantic search solutions in more than 100 languages, utilizing the versatile Embed model.
• Enhanced Search Relevance: With the Rerank model, Cohere.com enhances the relevance of search results obtained from both lexical and semantic search tools, resulting in more precise and valuable outcomes.
• Advanced Chatbots and Knowledge Assistants: The Coral product enables enterprises to create sophisticated chatbots and knowledge assistants that deliver accurate and contextually grounded conversations, leveraging their data.
• Customization and Support: Cohere.com offers secure deployment options, customizable models, and exceptional customer support, ensuring tailored solutions for its clients.
• Expertise in ML/AI: Backed by a team of ML/AI research and engineering experts, Cohere.com is dedicated to leading the way in shaping the future of language AI solutions for business applications.

What is the pricing of cohere.com?

Cohere.com offers a range of pricing options tailored to accommodate various user needs for their natural language technology solutions. These pricing plans are structured as follows:

• Free Plan: The Free plan is ideal for learning and prototyping purposes. It provides users with rate-limited usage, granting access to all available endpoints and offering ticket support at no cost. Usage remains free until transitioning into production.
• Production Plan: For businesses seeking to leverage hosted language models for operational purposes, the Production plan is available. It enables users to train custom models, provides elevated ticket support, access to all endpoints, and an increased rate limit. Pricing for this plan is based on a per-token rate of $0.0000001 USD, with a default model price of $0.10 per 1 million tokens.
• Enterprise Plan: Designed for customers with specific requirements such as dedicated model instances, dedicated support channels, or custom deployment options, the Enterprise plan offers tailored solutions. To obtain further details on this plan, customers can reach out to Cohere.com's sales team directly.

Additionally, Cohere.com offers a convenient price calculator on their website. This tool allows users to estimate their monthly expenses based on their token usage, providing transparency and flexibility in cost estimation.

How can I train custom models on cohere.com?

To train custom models on cohere.com, you can follow a structured process:

• Data Preparation: Begin by organizing your dataset in a JSONL format, where each line consists of a prompt and a corresponding completion for your intended task. For instance, if you aim to train a model for generating product descriptions, your dataset might resemble the following format:
  ```json
  {""prompt"": ""Product: Wireless earbuds\nFeatures: Bluetooth 5.0, noise cancellation, water-resistant\n"", ""completion"": ""Description: Enjoy your favorite tunes with these wireless earbuds. They feature Bluetooth 5.0 technology for a stable connection, noise cancellation for immersive sound, and water-resistant design for outdoor use.""}
  ```
• Dataset Upload: Upload your prepared dataset to cohere.com using either the dedicated [upload page] or the [upload API]. Alternatively, you can explore and utilize existing datasets from the [dataset library].
• Training Initiation: Initiate the training process by utilizing the [train page] or the [train API]. During this step, you can specify crucial details such as your model's name, the dataset to be used, and the desired number of training steps. Real-time monitoring of training progress and status can also be conducted on the same page.
• Model Evaluation: Evaluate the performance of your custom model using the [evaluate page] or the [evaluate API]. This allows you to assess various metrics including accuracy, perplexity, and diversity in comparison to the baseline model. Furthermore, you can make sample calls to your model, assessing its performance across different prompts.

For comprehensive guidance and further examples, refer to the [documentation] and [blog posts] available on cohere.com. These resources offer valuable insights and additional information to assist you in effectively training and evaluating custom models.

What are the limitations of cohere.com?

Cohere.com, while offering valuable natural language technology solutions, does come with certain limitations:

• Cost Considerations: Cohere.com's pricing, especially under the Production plan with a rate of 0.0000001 USD per token and $0.10 per 1 million tokens per model unit, may be relatively expensive compared to other solutions available in the market. For the Enterprise plan, detailed cost information necessitates direct contact with their sales team.
• Data Quality Dependency: The performance of custom models trained on Cohere.com is heavily reliant on the quality and quantity of the training data provided. If the data is noisy, incomplete, or biased, it can result in suboptimal model performance, potentially leading to inaccurate or inappropriate outputs.
• Browser Compatibility Issues: Cohere.com may not be fully compatible with certain web browsers or extensions, which can interfere with its functionality. For example, users of Safari or ad-blockers may experience dropped connections or freezing issues.
• Ethical and Legal Considerations: The use of large language models and generative AI, as facilitated by Cohere.com, can raise ethical and legal challenges. Users need to be mindful of privacy, security, and consent concerns related to data sources and users. Additionally, there is a need to address potential risks associated with generating harmful, misleading, or offensive content.

These limitations are sourced from web search results and should be considered when evaluating Cohere.com as a potential solution. For a more comprehensive understanding of Cohere.com's capabilities and limitations, it is recommended to visit their official website or explore their [blog posts].