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

Introduction In 2019, Stanford entered the Alexa Prize Socialbot Grand Challenge 3 for the first time, with its bot Chirpy Cardinal , which went on to win 2nd place in the competition. Towards empathetic open-domain conversation models: A new benchmark and dataset. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang et al.

Computational Linguistics 40

Computational Linguistics Chatbots Robotics Natural Language Processing 40

IBM Journey to AI blog

SEPTEMBER 3, 2024

Data privacy issues Large language models (LLMs) are the underlying AI models for many generative AI applications, such as virtual assistants and conversational AI chatbots. As their name implies, these language models require an immense volume of training data. 1 Water consumption is another concern.

Explainability 131

Explainability AI AI Deep Learning 131

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

ChatGPT: The most Popular Generative AI Tool Starting with GPT's inception in 2018, the model was essentially built on the foundation of 12 layers, 12 attention heads, and 120 million parameters, primarily trained on a dataset called BookCorpus. This was an impressive start, offering a glimpse into the future of language models.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Topbots

APRIL 28, 2023

In this article, I analyze the performance of GPT models from 2019 to 2023 on tests that measure two kinds of creativity: convergent (a single, correct solution exists) and divergent (open-ended; multiple solutions may exist) [ 1 ]. Paper: Improving Language Understanding by Generative Pre-Training GPT-2 (2019, 1.5B

Large Language Models 52

Large Language Models Natural Language Processing Robotics Explainability 52

Topbots

JUNE 29, 2023

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models [9] Jinyang Li et al. Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback [14] Braden Hancock et al. 15] Ahmed Elgohary et al. Talk to me!

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52

Topbots

JUNE 6, 2023

For B2B Generative AI Apps, Is Less More ? [2] Unified language model pre-training for natural language understanding and generation. In Proceedings of the 33rd International Conference on Neural Information Processing Systems, pp. References [1] Andreessen Horowitz. 2] Li Dong et al. 13063–13075. [3]

LLM 102

LLM ChatGPT Prompt Engineer Prompt Engineering 102