IBM Journey to AI blog

JULY 11, 2023

AI can improve the healthcare user experience A recent study found that 83% of patients report poor communication as the worst part of their experience, demonstrating a strong need for clearer communication between patients and providers. AI can also improve accessibility. According to the U.S.

Deep Learning 188

Deep Learning Artificial Intelligence Artificial Intelligence Natural Language Processing 188

Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 2 ] Multilingual models perform worse on several NLP tasks on low resource languages than on high resource languages such as English.[

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Unite.AI

NOVEMBER 8, 2023

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. BERT T5 (Text-to-Text Transfer Transformer) : Introduced by Google in 2020 , T5 reframes all NLP tasks as a text-to-text problem, using a unified text-based format.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies.

Machine Learning 79

Machine Learning NLP ML Large Language Models 79

AWS Machine Learning Blog

SEPTEMBER 9, 2024

As LLMs have grown larger, their performance on a wide range of natural language processing tasks has also improved significantly, but the increased size of LLMs has led to significant computational and resource challenges. Dr. Maxime Hugues is a Principal WW Specialist Solutions Architect GenAI at AWS, which he joined in 2020.

Deep Learning 106

Deep Learning ML Machine Learning Natural Language Processing 106

Becoming Human

MARCH 17, 2023

Trends resonate with Gartner predictions : about 25% customer service operations relying on virtual assistants by the year 2020 may reach the USD 11.5 That makes 47.3 million adults, or about 20% of the US population. billion mark by the year 2024. This report indicates that speech recognition will grow by USD 7.5

Neural Network 124

Neural Network Artificial Intelligence Artificial Intelligence Automation 124

AWS Machine Learning Blog

MARCH 31, 2023

Call volumes increased further in 2020 when the COVID-19 pandemic struck and driver licensing regional offices closed. QnABot allows you to quickly deploy a conversational AI virtual agent into your contact centers, websites, and messaging channels, with no coding experience required.

Automation 91

Automation Natural Language Processing Conversational AI NLP 91

AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

NLP 83

NLP Robotics Prompt Engineer Prompt Engineering 83

Topbots

JANUARY 30, 2023

Making the transition from classical language generation to recognising and responding to specific communicative intents is an important step to achieve better acceptance of user-facing NLP systems, especially in Conversational AI. Modelling reasoning processes Finally, Anna faces an emergency. References [1] Emily M.

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 19, 2024

Therefore, a managed solution that handles these undifferentiated tasks could streamline and accelerate the process of implementing and managing RAG applications. Knowledge Bases for Amazon Bedrock Knowledge Bases for Amazon Bedrock is a serverless option to build powerful conversational AI systems using RAG.

Chatbots 116

Chatbots Data Ingestion Machine Learning Generative AI 116

Chatbots Life

OCTOBER 7, 2024

During the next stage, Natural Language Processing (NLP) dissects the text, deciphers its meaning, and identifies the person’s intent. Such a function broadens their appeal across different regions and cultures, ensuring that businesses and consumers worldwide can interact with the tool in their preferred language.

Chatbots 73

Chatbots Automation Artificial Intelligence Artificial Intelligence 73

The Stanford AI Lab Blog

FEBRUARY 1, 2022

Towards a human-like open-domain chatbot arXiv preprint arXiv:2001.09977 (2020). ↩ Roller, Stephen, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu et al. Recipes for building an open-domain chatbot arXiv preprint arXiv:2004.13637 (2020). ↩ Hannah Raskin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau.

Computational Linguistics 40

Computational Linguistics Chatbots Robotics Natural Language Processing 40

AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Metadata 125

Metadata LLM NLP Conversational AI 125

Topbots

MAY 17, 2023

Five years later, in 2020, the research team from UC Berkeley introduced a seminal research paper with a few groundbreaking changes that led to a huge jump in the quality of the generated images. Email Address * Name * First Last Company * What areas of AI research are you interested in?

Neural Network 89

Neural Network Computer Vision OpenAI Machine Learning 89

Chatbots Life

MAY 3, 2023

What is Conversational AI? We all remember conversing with a Chatbot at some point in our lives. Conversational AI is the use of Machine learning and advanced algorithms where you interact with a computer naturally using audio, and the machine/computer understands the intent behind your query and responds accordingly.

Conversational AI 98

Conversational AI Chatbots AI Chatbots AI 98

Unite.AI

AUGUST 8, 2023

GPT-3, launched in May 2020 had 96 layers, 96 attention heads, and a massive parameter count of 175 billion. Relying heavily on Natural Language Processing (NLP) and large language models (LLMs), these entities are empowered to perform tasks ranging from code generation and language translation to summarization and sentiment analysis.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

AWS Machine Learning Blog

OCTOBER 26, 2023

Since its introduction in 2021, Amazon SageMaker Canvas has enabled business analysts to build, deploy, and use a variety of ML models – including tabular, computer vision, and natural language processing – without writing a line of code. Advances in Neural Information Processing Systems , 33 , 9459-9474. Petroni, F.,

Generative AI 114

Generative AI Machine Learning ML AI 114

Topbots

APRIL 28, 2023

Paper: Language Models are Unsupervised Multitask Learners. GPT-3 (2020, 175B parameters). Paper: Language Models are Few-Shot Learners GPT-3.5 I used Spacy (`en_core_web_lg`), a natural language processing library, to calculate word embeddings for the object (e.g. Over 100 times bigger than GPT-2.

Large Language Models 52

Large Language Models Natural Language Processing Robotics Explainability 52

Topbots

JUNE 29, 2023

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback [14] Braden Hancock et al. Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback [16] Janna Lipenkova. LLMs and SQL [11] Tao Yu et al. 15] Ahmed Elgohary et al. Talk to me!

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52