Jamba 1.6

Meet Jamba 1.6 by AI21, a powerful model designed for businesses. This model sets new standards in accuracy, speed, and security for business AI applications. Thanks to its innovative design, Jamba 1.6 outperforms competitors like Mistral, Meta, and Cohere across various tests.

Key Features

Jamba 1.6 delivers top-quality AI performance. It surpasses models such as Mistral Large 2, Llama 3.3 70B, and Command R+. The model is great for different business tasks, such as:

• Retrieval-Augmented Generation (RAG): Jamba 1.6 works well with business knowledge bases. It gives precise and context-aware insights.
• Long Context Question Answering (QA): The model provides cited responses with over 90% consistency across long contexts. This ensures reliability in grounded question answering.

With a context window of 256K, Jamba 1.6 handles long context tasks well. It is perfect for:

• Drug Discovery: Analyzing years of research data accurately.
• Legal Document Review: Extracting key clauses and summarizing findings across thousands of pages.
• Financial Analysis: Reasoning over earnings reports, regulations, and market trends.

Jamba 1.6 offers flexible deployment options:

• AI21 Studio: Available for download and private deployment on-prem or in-VPC.
• Hugging Face: Models can be downloaded and deployed privately.
• Batch API: Efficient solution for handling large volumes of requests. Designed for high-volume data spikes on a tight turnaround timeline.

One of the biggest challenges enterprises face when adopting AI is maintaining full control over their data. Jamba 1.6 can operate entirely within a company''s private environment. This ensures that sensitive data stays within the organization and is never exposed to a model vendor.

Jamba 1.6 improves data classification by 26 percentage points over AI21''s previous model, Jamba 1.5. This enables more accurate structuring and automation of large datasets, making it ideal for summarization and document analysis.

Benefits

Jamba 1.6 offers several benefits, including superior AI quality, unmatched long context performance, and flexible deployment options. It also ensures data security and privacy, making it a reliable choice for enterprises.

Use Cases

Jamba 1.6 is already being used by various enterprises to handle complex AI workloads with low latency:

• Fnac: A multinational retail chain using Jamba for data classification, saw a 26% improvement in output quality.
• Educa Edtech: An online education provider using Jamba for grounded question answering with over 90% retrieval accuracy.
• Digital Banking: A pioneer advancing an assistant that delivers grounded answers to customer questions, found Jamba Mini 1.6 scored 21% higher on precision than its predecessor.