Difference between revisions of "Conversational AI"
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** [[Generative Query Network (GQN)]] | ** [[Generative Query Network (GQN)]] | ||
** [[Data Quality#Data Augmentation, Data Labeling, and Auto-Tagging|Data Augmentation, Data Labeling, and Auto-Tagging]] | ** [[Data Quality#Data Augmentation, Data Labeling, and Auto-Tagging|Data Augmentation, Data Labeling, and Auto-Tagging]] | ||
| − | ** [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript | + | ** [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] |
** [[Generative AI for Business Analysis]] | ** [[Generative AI for Business Analysis]] | ||
** [[Natural Language Generation (NLG)]] | ** [[Natural Language Generation (NLG)]] | ||
| + | * [[Gaming]] ... [[Game-Based Learning (GBL)]] ... [[Games - Security|Security]] ... [[Game Development with Generative AI|Generative AI]] ... [[Metaverse#Games - Metaverse|Metaverse]] ... [[Games - Quantum Theme|Quantum]] ... [[Game Theory]] | ||
* Demo, summarizing, priority listing, & analysis... | * Demo, summarizing, priority listing, & analysis... | ||
** [https://www.chatpdf.com/ ChatPDF] | ** [https://www.chatpdf.com/ ChatPDF] | ||
Revision as of 13:43, 21 May 2023
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
- Singularity ... Sentience ... AGI ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
- In-Context Learning (ICL) ... LLMs understand to encode learning algorithms implicitly during their training processes
- Assistants ... Agents ... Negotiation ... LangChain
- Development ...AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis
- Case Studies
- AI Solver
- Gaming ... Game-Based Learning (GBL) ... Security ... Generative AI ... Metaverse ... Quantum ... Game Theory
- Demo, summarizing, priority listing, & analysis...
- Three main types:
- Autoencoder (AE) / Encoder-Decoder
- Sequence Models
- Adversarial Networks
- Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... 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 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 .
