Chatbots
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#OFN Natural Language Processing (NLP) 📚
NLP is a critical subset of AI that deals with the interaction between computers and human languages. It enables machines to process and understand human language.
Text Classification:
Description: Assigning predefined categories to text data.
Applications: Sentiment analysis, email spam detection, and topic categorization.
Named Entity Recognition (NER):
Description: Identifying specific entities (like people, places, organizations) in text.
Applications: Extracting entities from news articles, legal documents, and social media posts.
Machine Translation:
Description: Automatically translating text from one language to another.
Applications: Google Translate, real-time translation in applications, and multilingual #chatbots .
Speech Recognition:
Description: Converting spoken language into text.
Applications: Virtual assistants (e.g., Siri, Alexa), transcription services, and voice-controlled devices.
Text Generation:
Description: Creating new text based on a given prompt.
Applications: Chatbots, automated content generation, and language models like GPT-3.
NLP is a critical subset of AI that deals with the interaction between computers and human languages. It enables machines to process and understand human language.
Text Classification:
Description: Assigning predefined categories to text data.
Applications: Sentiment analysis, email spam detection, and topic categorization.
Named Entity Recognition (NER):
Description: Identifying specific entities (like people, places, organizations) in text.
Applications: Extracting entities from news articles, legal documents, and social media posts.
Machine Translation:
Description: Automatically translating text from one language to another.
Applications: Google Translate, real-time translation in applications, and multilingual #chatbots .
Speech Recognition:
Description: Converting spoken language into text.
Applications: Virtual assistants (e.g., Siri, Alexa), transcription services, and voice-controlled devices.
Text Generation:
Description: Creating new text based on a given prompt.
Applications: Chatbots, automated content generation, and language models like GPT-3.
🚨#AI therapy is booming in 🇨🇳China and 🇹🇼Taiwan as youth seek private, affordable support. While #chatbots offer instant comfort, doctors warn they miss human cues and risk misdiagnosis. Experts insist real therapy needs human presence, not algorithms.-The Gaurdian
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🔹"AI is going to impact daily human life."
$SHELL
$CGPT
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🔹"AI is going to impact daily human life."
$SHELL
$CGPT
Microsoft is falling behind in the chatbot race.
According to newly released data from Bloomberg, Microsoft’s Copilot ranks fourth in global chatbot downloads — trailing far behind ChatGPT, with nearly 12x fewer installs:
• ChatGPT: 938M
• Gemini (Google): 200M
• DeepSeek: 127M
• Copilot (Microsoft): 79M
• Perplexity: 47M
The twist? Microsoft is losing… to its own investment.
The company has poured $13 billion into OpenAI, the creator of ChatGPT.
Despite the massive gap, Microsoft leadership says they’re not focused on rankings — instead, they’re doubling down on building unique features into Copilot.
🧠 Some of the latest updates include:
• On-screen context awareness
• Smarter conversation flow by detecting human pauses and intent
Whether this will help close the gap — time will tell.
But for now, ChatGPT remains far ahead in the race.
#AInews #Chatbots #Microsoft #OpenAI #Copilot #ChatGPT #BloombergData #TechTrends
According to newly released data from Bloomberg, Microsoft’s Copilot ranks fourth in global chatbot downloads — trailing far behind ChatGPT, with nearly 12x fewer installs:
• ChatGPT: 938M
• Gemini (Google): 200M
• DeepSeek: 127M
• Copilot (Microsoft): 79M
• Perplexity: 47M
The twist? Microsoft is losing… to its own investment.
The company has poured $13 billion into OpenAI, the creator of ChatGPT.
Despite the massive gap, Microsoft leadership says they’re not focused on rankings — instead, they’re doubling down on building unique features into Copilot.
🧠 Some of the latest updates include:
• On-screen context awareness
• Smarter conversation flow by detecting human pauses and intent
Whether this will help close the gap — time will tell.
But for now, ChatGPT remains far ahead in the race.
#AInews #Chatbots #Microsoft #OpenAI #Copilot #ChatGPT #BloombergData #TechTrends
See original
fantasies will soon become reality Chatbot Claude AI
Anthropic's Claude AI chatbot has learned to process 2x more queries than ChatGPTAI Anthropic's Claude is a language model with similar capabilities to ChatGPTYou're almost certainly aware of the impressive GPT-4 language model that powers the latest versions of ChatGPT, as well as Bing Chat. However, the OpenAI GPT family of AI models is just one of many language models. Anthropic's AI Claude is a language model with similar capabilities to GPT-3, but it has one key advantage over the all-new GPT-4 Turbo: Maximum Token Length Token length is the amount of information you can pass to the AI. It describes the maximum length of a request you can give to the network so that it can transform and produce output. After all, that's what these models do - take input data, interpret it according to the data obtained from their training, and then produce output information that is converted into intelligent output. "Tokens" are the fundamental unit of text processed model. This could be a word, part of a word, punctuation mark, or even a space.The original GPT-4 had a maximum length of 8192 tokens, which was considered impressive at the time of release. The recently released GPT-4 Turbo has a maximum token length of 128,000 tokens, but even that huge number is dwarfed by Anthropic's new Claude 2.1, which can accept 200,000 tokens in a single request.#etf #chatbots #GPT-4 #BTC 3018347 1817$BNB $BTC $ETH
#Tech #Users Are Falling in LOVE❤️ With #Chatbots 🤖
From casual chats to emotional connections — AI assistants are becoming more than tools. A growing number of users are forming romantic attachments to chatbots, raising questions about the future of human-AI relationships.
📊 Market Impact:
AI-focused tokens like $NEAR , $RNDR , and $FET could benefit from rising interest in chatbot technology
Potential boom for AI relationship apps and digital companion platforms
Investors eyeing AI-human interaction trends may shift focus from utility to emotion-driven innovation
FOLLOW 🙌 👀
#Write2Earn #InsidePro
From casual chats to emotional connections — AI assistants are becoming more than tools. A growing number of users are forming romantic attachments to chatbots, raising questions about the future of human-AI relationships.
📊 Market Impact:
AI-focused tokens like $NEAR , $RNDR , and $FET could benefit from rising interest in chatbot technology
Potential boom for AI relationship apps and digital companion platforms
Investors eyeing AI-human interaction trends may shift focus from utility to emotion-driven innovation
FOLLOW 🙌 👀
#Write2Earn #InsidePro
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