Text Transfer Learning - Revision history

BPeat at 20:35, 28 April 2024

2024-04-28T20:35:48Z

BPeat: Text replacement - "* Conversational AI ... ChatGPT | OpenAI ... Bing | Microsoft ... Bard | Google ... Claude | Anthropic ... Perplexity ... You ... Ernie | Baidu" to "* Conversational AI ... [[C...

2024-03-16T15:24:14Z

BPeat at 19:50, 2 September 2023

2023-09-02T19:50:24Z

BPeat at 10:10, 13 July 2023

2023-07-13T10:10:50Z

BPeat at 10:10, 13 July 2023

2023-07-13T10:10:28Z

BPeat at 19:31, 28 April 2023

2023-04-28T19:31:11Z

BPeat at 16:46, 15 April 2023

2023-04-15T16:46:52Z

BPeat: Text replacement - "BingAI" to "Bing"

2023-03-31T01:30:54Z

Text replacement - "BingAI" to "Bing"

BPeat at 02:06, 25 March 2023

2023-03-25T02:06:56Z

BPeat at 20:53, 8 March 2023

2023-03-08T20:53:17Z

@@ Line 19: / Line 19: @@
 * [[Learning Techniques]]
 * [[Video/Image]] ... [[Vision]] ... [[Enhancement]] ... [[Fake]] ... [[Reconstruction]] ... [[Colorize]] ... [[Occlusions]] ... [[Predict image]] ... [[Image/Video Transfer Learning]]
-* [[Transfer Learning]]
+* [[Perspective]] ... [[Context]] ... [[In-Context Learning (ICL)]] ... [[Transfer Learning]] ... [[Out-of-Distribution (OOD) Generalization]]
 * [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ...  [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]]
 * [http://venturebeat.com/2019/10/24/google-achieves-state-of-the-art-nlp-performance-with-an-enormous-language-model-and-data-set/ Google achieves state-of-the-art NLP performance with an enormous language model and data set | Kyle Wiggers - Venture Beat] researchers at Google developed a new data set — Colossal Clean Crawled Corpus — and a unified framework and model dubbed [http://arxiv.org/pdf/1910.10683.pdf Text-to-Text Transformer] that converts language problems into a text-to-text format. Colossal Clean Crawled Corpus — were sourced from the Common Crawl project, which scrapes roughly 20 terabytes of English text from the web each month.

@@ Line 24: / Line 24: @@
 * [[Attention]] Mechanism  ... [[Transformer]] ... [[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]]
 * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
-* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
+* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]]
 * [http://pdfs.semanticscholar.org/1bb2/39731589f3114a3fe5b35e42a635b5eacb38.pdf  Transfer Learning for Text Mining | Weike Pan, Erheng Zhong, and Qiang Yang]

@@ Line 23: / Line 23: @@
 * [http://venturebeat.com/2019/10/24/google-achieves-state-of-the-art-nlp-performance-with-an-enormous-language-model-and-data-set/ Google achieves state-of-the-art NLP performance with an enormous language model and data set | Kyle Wiggers - Venture Beat] researchers at Google developed a new data set — Colossal Clean Crawled Corpus — and a unified framework and model dubbed [http://arxiv.org/pdf/1910.10683.pdf Text-to-Text Transformer] that converts language problems into a text-to-text format. Colossal Clean Crawled Corpus — were sourced from the Common Crawl project, which scrapes roughly 20 terabytes of English text from the web each month.
 * [[Attention]] Mechanism  ... [[Transformer]] ... [[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]]
-* [[Generative AI]] ... [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
+* [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
 * [http://pdfs.semanticscholar.org/1bb2/39731589f3114a3fe5b35e42a635b5eacb38.pdf  Transfer Learning for Text Mining | Weike Pan, Erheng Zhong, and Qiang Yang]

@@ Line 28: / Line 28: @@
 Transfer algorithms: Bi-Directional Attention Flow (BIDAF), Document-QA (DOCQA), Reasoning Network (ReasoNet), R-NET, S-NET, and Assertion Based Question Answering (ABQA) [http://blogs.technet.microsoft.com/machinelearning/2018/04/25/transfer-learning-for-text-using-deep-learning-virtual-machine-dlvm/ Transfer Learning for Text using Deep Learning Virtual Machine (DLVM) | Anusua Trivedi and Wee Hyong Tok - Microsoft]
 <youtube>zxJJ0T54HX8</youtube>
 <youtube>qN9hHlZKIL4</youtube>

@@ Line 2: / Line 2: @@
 |title=PRIMO.ai
 |titlemode=append
-|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
+|keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
 [http://www.youtube.com/results?search_query=Text+document+speech+words+Transfer+Learning+machine+neural+network YouTube search...]
@@ Line 9: / Line 18: @@
 * [[Learning Techniques]]
-* [[Image/Video Transfer Learning]]
+* [[Video/Image]] ... [[Vision]] ... [[Enhancement]] ... [[Fake]] ... [[Reconstruction]] ... [[Colorize]] ... [[Occlusions]] ... [[Predict image]] ... [[Image/Video Transfer Learning]]
 * [[Transfer Learning]]
 * [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ...  [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]]
 * [http://venturebeat.com/2019/10/24/google-achieves-state-of-the-art-nlp-performance-with-an-enormous-language-model-and-data-set/ Google achieves state-of-the-art NLP performance with an enormous language model and data set | Kyle Wiggers - Venture Beat] researchers at Google developed a new data set — Colossal Clean Crawled Corpus — and a unified framework and model dubbed [http://arxiv.org/pdf/1910.10683.pdf Text-to-Text Transformer] that converts language problems into a text-to-text format. Colossal Clean Crawled Corpus — were sourced from the Common Crawl project, which scrapes roughly 20 terabytes of English text from the web each month.
-* [[Generative Pre-trained Transformer (GPT)]]
+* [[Attention]] Mechanism  ... [[Transformer]] ... [[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]]
-* [[Generative AI]]  ... [[Conversational AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
+* [[Generative AI]] ... [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
+* [http://pdfs.semanticscholar.org/1bb2/39731589f3114a3fe5b35e42a635b5eacb38.pdf  Transfer Learning for Text Mining | Weike Pan, Erheng Zhong, and Qiang Yang]
 Transfer algorithms: Bi-Directional Attention Flow (BIDAF), Document-QA (DOCQA), Reasoning Network (ReasoNet), R-NET, S-NET, and Assertion Based Question Answering (ABQA) [http://blogs.technet.microsoft.com/machinelearning/2018/04/25/transfer-learning-for-text-using-deep-learning-virtual-machine-dlvm/ Transfer Learning for Text using Deep Learning Virtual Machine (DLVM) | Anusua Trivedi and Wee Hyong Tok - Microsoft]

@@ Line 15: / Line 15: @@
 * [http://venturebeat.com/2019/10/24/google-achieves-state-of-the-art-nlp-performance-with-an-enormous-language-model-and-data-set/ Google achieves state-of-the-art NLP performance with an enormous language model and data set | Kyle Wiggers - Venture Beat] researchers at Google developed a new data set — Colossal Clean Crawled Corpus — and a unified framework and model dubbed [http://arxiv.org/pdf/1910.10683.pdf Text-to-Text Transformer] that converts language problems into a text-to-text format. Colossal Clean Crawled Corpus — were sourced from the Common Crawl project, which scrapes roughly 20 terabytes of English text from the web each month.
 * [[Generative Pre-trained Transformer (GPT)]]
-* [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]
+* [[Generative AI]]  ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]]  ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]]

← Older revision		Revision as of 20:53, 8 March 2023
Line 15:		Line 15:
	* [http://venturebeat.com/2019/10/24/google-achieves-state-of-the-art-nlp-performance-with-an-enormous-language-model-and-data-set/ Google achieves state-of-the-art NLP performance with an enormous language model and data set \| Kyle Wiggers - Venture Beat] researchers at Google developed a new data set — Colossal Clean Crawled Corpus — and a unified framework and model dubbed [http://arxiv.org/pdf/1910.10683.pdf Text-to-Text Transformer] that converts language problems into a text-to-text format. Colossal Clean Crawled Corpus — were sourced from the Common Crawl project, which scrapes roughly 20 terabytes of English text from the web each month.		* [http://venturebeat.com/2019/10/24/google-achieves-state-of-the-art-nlp-performance-with-an-enormous-language-model-and-data-set/ Google achieves state-of-the-art NLP performance with an enormous language model and data set \| Kyle Wiggers - Venture Beat] researchers at Google developed a new data set — Colossal Clean Crawled Corpus — and a unified framework and model dubbed [http://arxiv.org/pdf/1910.10683.pdf Text-to-Text Transformer] that converts language problems into a text-to-text format. Colossal Clean Crawled Corpus — were sourced from the Common Crawl project, which scrapes roughly 20 terabytes of English text from the web each month.
	* [[Generative Pre-trained Transformer (GPT)]]		* [[Generative Pre-trained Transformer (GPT)]]
		+	* [[Generative AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]] ... [[Microsoft]]'s [[BingAI]] ... [[You]] ...[[Google]]'s [[Bard]]