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https://research.ibm.com › blog › what-are-foundation-models
With pre trained foundation models Watson NLP could train sentiment analysis on a new language using as little as a few thousand sentences 100 times fewer annotations
https://research.ibm.com › blog
In March 2020 IBM began integrating NLP features from IBM Research s Project Debater into Watson Discovery Watson Assistant and Watson Core Services to allow
https://research.ibm.com › blog › bringing-ai-to-the-command-line
However with the arrival of cloud based ecosystems and cloud native applications as well as the scalable real world deployment of artificial intelligence AI systems
https://research.ibm.com › blog › intel-oneapi-watson-nlp
From virtual assistants to language translation natural language processing NLP has revolutionized the way we interact with technology However improving the performance
https://research.ibm.com › blog › inference-friendly-aloras-lora
IBM Research s new adapted LoRA can give LLMs specialized capabilities at inference time without the delay
https://research.ibm.com › publications › meaning-representations-for-n…
This tutorial reviews the design of common meaning representations SoTA models for predicting meaning representations and the applications of meaning
https://research.ibm.com › publications › meaning-representations-for-n…
Meaning Representations for Natural Languages Design Models and Applications Abstract We propose a cutting edge tutorial that reviews the design of common meaning
https://research.ibm.com › blog › what-is-generative-AI
Generative AI refers to deep learning models that can generate high quality text images and other content based on the data they were trained on
https://research.ibm.com › blog › qlm-chiron-llm-orchestration
Large language models LLMs such as OpenAI GPT 4 IBM Granite Google Gemini and Meta Llama have enabled novel capabilities in a wide range of AI applications
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