Difference between revisions of "Bard"

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* [[Assistants]] ... [[Hybrid Assistants]]  ... [[Agents]]  ... [[Negotiation]]
 
* [[Assistants]] ... [[Hybrid Assistants]]  ... [[Agents]]  ... [[Negotiation]]
 
* [[Python]]  ... [[Generative AI with Python]]  ... [[Javascript]]  ... [[Generative AI with Javascript]]  ... [[Game Development with Generative AI]]
 
* [[Python]]  ... [[Generative AI with Python]]  ... [[Javascript]]  ... [[Generative AI with Javascript]]  ... [[Game Development with Generative AI]]
 +
* [[Development]]  ...[[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Analytics]]  ... [[Visualization]]  ... [[Diagrams for Business Analysis]]
 
* [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]]  ...[[Large Language Model (LLM)|LLM]]  ...[[Natural Language Tools & Services|Tools & Services]]
 
* [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]]  ...[[Large Language Model (LLM)|LLM]]  ...[[Natural Language Tools & Services|Tools & Services]]
 
* [[Attention]] Mechanism  ...[[Transformer]] Model  ...[[Generative Pre-trained Transformer (GPT)]]
 
* [[Attention]] Mechanism  ...[[Transformer]] Model  ...[[Generative Pre-trained Transformer (GPT)]]

Revision as of 14:36, 17 March 2023

YouTube search... ...Google search


LaMDA

LaMDA is “the language model” that people are afraid of. After a Google employee believed LaMDA was conscious, the AI became a topic of discussion due to the impression it gave off in its answers. In addition, the engineer hypothesized that LaMDA, like humans, expresses its anxieties through communication. First and foremost, it is a statistical method for predicting the following words in a series based on the previous ones. LaMDA’s innovativeness lies in the fact that it may stimulate dialogue in a looser fashion than is allowed by task-based responses. So that the conversation can flow freely from one topic to another, a conversational language model needs to be familiar with concepts such as Multimodal user intent, reinforcement learning, and suggestions. | Sundar Pichal - Dataconomy