Conversational AI. Experts in Multilingual Synthetic Training Data. We industrialize training data production for any voice-controlled device, chatbot or IVR.
In collaboration with AI21 Labs, Bitext will present today at AWS re:Invent 2024 how LLM verticalization saves time and money for developing Customer-Facing Enterprise GenAI applications.
You can download and test here: https://t.co/9bdsvTZKAy #AWSreInvent2024
Databricks just launched their AI Model Sharing platform, enabling seamless collaboration and deployment of AI models. We're excited to announce that Bitext is part of this innovation.
https://t.co/C8fJQ3k8VB
#databricks#AI#GenAI
Advancing AI in Banking: Specialized Fine-Tuned Mistral7B Now Live on Databricks
Why should you care? Let me break it down:
✅ 4,096 token capacity means handling longer, more detailed conversations without breaking a sweat.
https://t.co/jpVQBd8WEo #MachineLearning
Advancing AI in Banking: Specialized Fine-Tuned Mistral7B Now Live on Databricks
Why should you care? Let me break it down:
✅ 4,096 token capacity means handling longer, more detailed conversations without breaking a sweat.
https://t.co/jpVQBd8WEo
To help you get more from #GenAI, we’ve put together this compact guide to RAG — the leading technique for enhancing #LLMs with enterprise data.
Explore implementation best practices, use cases, and how to evaluate the accuracy of RAG applications: https://t.co/sD5r1Ku3OG
.@NaveenGRao, our VP of AI, discusses how organizations can mitigate “data exhaustion” with data intelligence.
"Your competitive edge is how you use your data, and how you leverage the techniques of AI with your data.”
Watch here:
https://t.co/4ar5StBwRs
Accuracy, safety and governance are top concerns for organizations moving their #GenAI applications to production — driving the shift to #dataintelligence.
Join @NaveenGRao and other industry leaders to learn how to build #GenAI use cases with #MosaicAI. https://t.co/GnuZrw7aji
Mosaic AI Model Training now supports 131K tokens for fine-tuning Meta Llama 3.1!
Build even more powerful RAG and tool use systems with long context enterprise data: https://t.co/UUDnJl6Ymz
We have recently published a #dataset designed to train intent recognition models in the #Rasa#NLU platform, with more than 8k #training utterances. Take a look at this post where we explain and specify all features.
https://t.co/mMX08XBjUr
#language#nlp#syntheticdata#chatbot