Conversational AI

YouTube ... Quora ...Google search ...Google News ...Bing News

• Generative AI ... Conversational AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's Bing ... You ...Google's Bard ... Baidu's Ernie
  • ChatGPT Integration
• Assistants ... Hybrid Assistants ... Agents ... Negotiation ... HuggingGPT ... LangChain
• Development ...AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis
• Case Studies
  • Neeva
  • Alpaca | Stanford
  • Generative AI 100 use case | Shunsuke Nakaji - Medium
  • Generative AI Statistics By Industry, Sector, Revenue and Facts | Barry Elad - Enterprise Apps Today
• Capabilities
  • Video/Image ... Vision ... Colorize ... Image/Video Transfer Learning
  • End-to-End Speech ... Synthesize Speech ... Speech Recognition
• AI Solver
• Discriminative vs. Generative
  • Generative Model | Wikipedia
  • Generative Pre-trained Transformer (GPT)
  • Generative Query Network (GQN)
  • Data Augmentation, Data Labeling, and Auto-Tagging
  • Python ... Generative AI with Python ... Javascript ... Generative AI with Javascript ... Game Development with Generative AI
  • Generative AI for Business Analysis
  • Natural Language Generation (NLG)
• Emergence from Analogies
• Demos, generating...
  • Music: Generating Piano Music with Transformer | I. Simon, A. Huang, J. Engel, C. "Fjord" Hawthorne - Google on Colab play with pretrained Transformer models for piano music generation, based on the Music Transformer model
  • Faces: TF-Hub generative image model | The TensorFlow Hub Authors - Google use of a TF-Hub module based on a generative adversarial network (GAN). The module maps from N-dimensional vectors, called latent space, to RGB images.
  • 3D Objects: 3D Style Transfer | Google uses Lucid to implement style transfer from a textured 3D model and a style image onto a new texture for the 3D model by using a Differentiable Image Parameterization
• Demo, summarizing, priority listing, & analysis...
  • ChatPDF
• Three main types:
  • Autoencoder (AE) / Encoder-Decoder
  • Sequence Models
    • Transformer
    • Recurrent Neural Network (RNN)
    • Sequence to Sequence (Seq2Seq)
  • Adversarial Networks
    • Conditional Adversarial Architecture (CAA)
    • Generative Adversarial Network (GAN)
    • Semi-Supervised Learning with Generative Adversarial Network (SSL-GAN)
    • Context-Conditional Generative Adversarial Network (CC-GAN)
• Natural Language Processing (NLP) ...Generation ...LLM ...Tools & Services

Conversational AI refers to technologies, like chatbots or virtual agents, which users can talk to. They use large volumes of data, machine learning, and natural language processing to help imitate human interactions, recognizing speech and text inputs and translating their meanings across various languages. Conversational AI can simulate human conversation and is made possible by natural language processing (NLP), a field of AI that allows computers to understand and process human language.

Some examples of conversational AI include chatbots, virtual assistants, text-to-speech software, and speech recognition software . Conversational AI works by using a combination of natural language processing (NLP) and machine learning (ML). Conversational AI systems are trained on large amounts of data, such as text and speech. This data is used to teach the system how to understand and process human language. The system then uses this knowledge to interact with humans in a natural way. It’s constantly learning from its interactions and improving its response quality over time .

Some benefits of using conversational AI include reducing costs and increasing productivity and operational efficiency through automation. It can also deliver better customer experience, achieve higher customer engagement and satisfaction .