Sublime
An inspiration engine for ideas
NLP is interested in how our thoughts, actions, and feelings work together right now to produce our experience.
Charles Faulkner • NLP
Linguistic refers to our ability to use language and how specific words and phrases mirror our mental worlds.
Charles Faulkner • NLP
The more you want to benefit from this book, the more important it is to apply these techniques in the moments of your daily life.
Charles Faulkner • NLP
ANY
LLM of your choice, statistical methods, or NLP models that runs
locally on your machine
:
- G-Eval
- Summarization
- Answer Relevancy
- Faithfulness
- Contextual Recall
- Contextual Precision
- RAGAS
- Hallucination
- Toxicity
- Bias
- etc.
GitHub - confident-ai/deepeval: The LLM Evaluation Framework
Rather than using these tools in isolation, I've connected them into a seamless ecosystem. I use Perplexity and ChatGPT’s o3 to research topics, import findings into NotebookLM where I can analyze patterns across multiple sources, then summarize everything in Google Docs connected to Claude's Project Knowledge.
Wyndo • I Stopped Chasing AI Tools and Started Building AI Spaces, Here's What I Learned
Shail’s AI tool recommendations for building large knowledge bases with LLM’s
CRWAL4AI
n8n, langflow, voiceflow
composio
TL;DR
LLMLingua utilizes a compact, well-trained language model (e.g., GPT2-small, LLaMA-7B) to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss.
... See more
LLMLingua utilizes a compact, well-trained language model (e.g., GPT2-small, LLaMA-7B) to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss.
... See more