Nomic AI Introduces Nomic Embed: Text Embedding Model with an 8192 Context-Length that Outperforms OpenAI Ada-002 and Text-Embedding-3-Small on both Short and Long Context Tasks

Nomic AI introduces Nomic Embed, an open-source, auditable text embedding model with an 8192 context length. It outperforms closed-source models like OpenAI’s text-embedding-ada-002, emphasizing transparency and reproducibility. Nomic Embed is built through a multi-stage contrastive learning pipeline, achieving superior performance on benchmarks. This release marks a significant advancement in the field of text embeddings.

 Nomic AI Introduces Nomic Embed: Text Embedding Model with an 8192 Context-Length that Outperforms OpenAI Ada-002 and Text-Embedding-3-Small on both Short and Long Context Tasks

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Nomic AI Introduces Nomic Embed: Text Embedding Model

An Open-Source, Auditable, and High-Performing Solution

Nomic AI has released Nomic Embed, a text embedding model with an 8192 context length, designed to outperform existing models like OpenAI’s text-embedding-ada-002. This open-source solution addresses the challenge of developing a text embedding model that excels in both short and long context tasks while prioritizing transparency, reproducibility, and model release.

Key Features of Nomic Embed

Nomic Embed offers an extended context length supporting tasks such as retrieval-augmented-generation (RAG) and semantic search. It is built through a multi-stage contrastive learning pipeline, incorporating features like rotary position embeddings, SwiGLU activations, DeepSpeed, FlashAttention, and BF16 precision. The model outperforms existing benchmarks like the Massive Text Embedding Benchmark (MTEB), LoCo Benchmark, and the Jina Long Context Benchmark.

Practical AI Solutions for Middle Managers

If you are looking to evolve your company with AI, Nomic Embed can redefine your way of work by providing practical solutions:

  • Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
  • Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
  • Select an AI Solution: Choose tools that align with your needs and provide customization.
  • Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.

Spotlight on a Practical AI Solution

Consider the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. This practical AI solution can redefine your sales processes and customer engagement, offering valuable automation and management capabilities.

For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com. Stay tuned on our Telegram or Twitter for more insights.

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