In a far away kingdom, there lived a king with immense wealth. With several things keeping me MIA last week from posting, how about an Armenian proverb to kick things back off? Reach out to us if you’d like to learn more and explore the capabilities provided by our combined platforms!
The Co:here HumanFirst integration is currently in beta, with pilot customers focusing on CCAI and voice data use-cases. We're particularly excited by the timing of this partnership, given the recent announcement of OpenAI's Whisper (speech-to-text) model: the wave of high-quality ASR data resulting from advancements like this one will unlock massive value for companies that are able to make sense of the data, and the combination of our two platforms provides the perfect tools to do so. HumanFirst is integrating Co:here's latent spaces to power our semantic search and clustering workflows, and allowing customers to directly train, evaluate and fine-tune state-of-the-art NLU models via Co:here’s robust classification APIs: thanks to few-shot learning, teams can easily discover and manage training data to build automation and analytics around the long-tail (hundreds or even thousands) of user intents.
HumanFirst is proud to announce a partnership with Cohere, and excited to join forces with another Canadian company to make NLU/NLP part of every developer's toolkit :) 🇨🇦īy using Cohere with HumanFirst, teams can quickly and seamlessly apply the best of both data-centric and model-centric approaches to NLU.
#ai #nlu #hyperautomation #invisiblemachines #automation #artificialintelligence #analytics #power #language HumanFirst is the leading no-code NLU Design tool for Conversational AI, CCAI, and CX: it allows teams to unstructured data into highly accurate NLU datasets that can power business and artificial intelligence use-cases. We’re particularly excited by HumanFirst’s support for large language models: the combination of HF + LLMs allows teams to explore highly noisy data (like multi-turn voice conversations) and train NLU classifiers that can understand the long-tail of information. We're integrating the HumanFirst NLU Design capabilities within OneReach.ai 's orchestration layer! What does that mean? Teams will be able to pull data from OneReach.ai directly into HumanFirst and transform it into high-quality NLU and push the data back into OneReach.ai for automation and analytics tools that require labeled data. OneReach AI will also use HumanFirst to develop best-in-class, reusable taxonomies of pre-built intents, accelerating project development.
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