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This is where we are keeping the generic knowledge spaces that can be shared with others.

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.obsidian
 
 
"Attention Is All You Need".md
"Attention Is All You Need".md
 
 
Access.md
Access.md
 
 
Adam optimizer.md
Adam optimizer.md
 
 
Anthropic.md
Anthropic.md
 
 
Applications of NLP.md
Applications of NLP.md
 
 
Autocompletion.md
Autocompletion.md
 
 
BERT.md
BERT.md
 
 
Challenges in NLP.md
Challenges in NLP.md
 
 
Claude 3.md
Claude 3.md
 
 
Comprehension.md
Comprehension.md
 
 
Conscious Reasoning and Judgment.md
Conscious Reasoning and Judgment.md
 
 
Context.md
Context.md
 
 
Core Tasks in NLP.md
Core Tasks in NLP.md
 
 
Decoder.md
Decoder.md
 
 
Encoder and Decoder Layers.md
Encoder and Decoder Layers.md
 
 
Encoder.md
Encoder.md
 
 
Facebook AI (Meta AI).md
Facebook AI (Meta AI).md
 
 
Few-Shot Learning.md
Few-Shot Learning.md
 
 
GPT-2.md
GPT-2.md
 
 
GPT-3.md
GPT-3.md
 
 
GPT.md
GPT.md
 
 
Gemini 1.5.md
Gemini 1.5.md
 
 
Google DeepMind.md
Google DeepMind.md
 
 
Google.md
Google.md
 
 
LLMs.md
LLMs.md
 
 
Llama 3.md
Llama 3.md
 
 
Machine Translation.md
Machine Translation.md
 
 
Meta AI.md
Meta AI.md
 
 
Microsoft.md
Microsoft.md
 
 
Mimicking.md
Mimicking.md
 
 
Mistral 7B.md
Mistral 7B.md
 
 
Mistral AI.md
Mistral AI.md
 
 
Mixtral 8x22B.md
Mixtral 8x22B.md
 
 
Multi-Head Attention.md
Multi-Head Attention.md
 
 
NLP.md
NLP.md
 
 
OpenAI.md
OpenAI.md
 
 
Part-of-Speech Tagging.md
Part-of-Speech Tagging.md
 
 
Pattern Recognition.md
Pattern Recognition.md
 
 
RAG.md
RAG.md
 
 
README.md
README.md
 
 
RNNs.md
RNNs.md
 
 
Resource Intensive.md
Resource Intensive.md
 
 
Semantics.md
Semantics.md
 
 
Sentiment Analysis.md
Sentiment Analysis.md
 
 
Several major companies are significant players in the large language model (LLM) space.md
Several major companies are significant players in the large language model (LLM) space.md
 
 
Speech Recognition and Synthesis.md
Speech Recognition and Synthesis.md
 
 
Statistical Associations.md
Statistical Associations.md
 
 
Syntax.md
Syntax.md
 
 
Technology Innovation Institute.md
Technology Innovation Institute.md
 
 
Text Classification.md
Text Classification.md
 
 
Text Generation.md
Text Generation.md
 
 
Tokenization.md
Tokenization.md
 
 
Transformer architecture.md
Transformer architecture.md
 
 
Types of data.md
Types of data.md
 
 
Understanding Language.md
Understanding Language.md
 
 
Understanding vs. Mimicking.md
Understanding vs. Mimicking.md
 
 
Understanding.md
Understanding.md
 
 
Untitled.canvas
Untitled.canvas
 
 
Using RAG Implementations on specific industry-related text.md
Using RAG Implementations on specific industry-related text.md
 
 
Weights and Biases.md
Weights and Biases.md
 
 
Zero-Shot Learning.md
Zero-Shot Learning.md
 
 
attention mechanisms.md
attention mechanisms.md
 
 
biases.md
biases.md
 
 
contextually relevant text.md
contextually relevant text.md
 
 
encoders-and-decoders-diagram.png
encoders-and-decoders-diagram.png
 
 
few-shot and zero-shot learning.md
few-shot and zero-shot learning.md
 
 
fine-tuned.md
fine-tuned.md
 
 
learning rate.md
learning rate.md
 
 
learning to predict the next word in a sentence.md
learning to predict the next word in a sentence.md
 
 
natural language processing.md
natural language processing.md
 
 
neural network model.md
neural network model.md
 
 
parameters.md
parameters.md
 
 
pretrained.md
pretrained.md
 
 
question answering.md
question answering.md
 
 
self-attention mechanism.md
self-attention mechanism.md
 
 
self-attention.md
self-attention.md
 
 
sequence-to-sequence architecture.md
sequence-to-sequence architecture.md
 
 
softmax function.md
softmax function.md
 
 
specific industry-related text.md
specific industry-related text.md
 
 
summarization.md
summarization.md
 
 
transformer model.md
transformer model.md
 
 
translation.md
translation.md
 
 
very large datasets.md
very large datasets.md
 
 
weights.md
weights.md
 
 
xAI.md
xAI.md
 
 

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