Sébastien De Greef commited on
Commit
ae30012
1 Parent(s): 68c7407

feat: Add AI-related YouTube videos and lectures to index.qmd

Browse files
Files changed (2) hide show
  1. src/index.qmd +11 -0
  2. src/llms/tasks.qmd +3 -0
src/index.qmd CHANGED
@@ -32,3 +32,14 @@ Most of my learning was done with online resources, here is a list of channels o
32
 
33
  - [**Tom Bilyeu**](https://www.youtube.com/@TomBilyeu) - This channel features interviews and motivational content focusing on mindset, entrepreneurship, and health.
34
 
 
 
 
 
 
 
 
 
 
 
 
 
32
 
33
  - [**Tom Bilyeu**](https://www.youtube.com/@TomBilyeu) - This channel features interviews and motivational content focusing on mindset, entrepreneurship, and health.
34
 
35
+ Other Videos:
36
+
37
+ [Mo Gawdat : Ex-Google Officer Finally Speaks Out On The Dangers Of AI!](https://www.youtube.com/watch?v=bk-nQ7HF6k4)
38
+
39
+ [The Turing Lectures: The future of generative AI](https://youtu.be/2kSl0xkq2lM?si=uhsy5VhxS4_pBthI)
40
+
41
+ [Introducing Sora — OpenAI’s text-to-video model](https://www.youtube.com/watch?v=HK6y8DAPN_0&)
42
+
43
+ [Emad Mostaque: The 3 Year AI Reset: How To Get Ahead While Others Lose Their Jobs](https://www.youtube.com/watch?v=Se91Pn3xxSs)
44
+
45
+ [Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI | Lex Fridman](https://www.youtube.com/watch?v=5t1vTLU7s40)
src/llms/tasks.qmd CHANGED
@@ -12,6 +12,9 @@ Therefore, while LLMs offer a powerful one-size-fits-all solution, there are man
12
 
13
  In light of these considerations, it is crucial for you to identify the specific NLP task that best aligns with their needs. Below is a list of common NLP tasks performed by AI models. By understanding the distinctive requirements and capabilities of each task, you can more effectively choose or design a model that optimally supports your objectives as you continue your journey in leveraging AI technology.
14
 
 
 
 
15
  ### 1. **Feature Extraction**
16
  Feature extraction in NLP involves identifying and isolating useful information from raw data (such as text) that models can process to perform tasks like classification or clustering. This could involve extracting specific words, phrases, sentiment scores, or syntactic patterns which serve as inputs for more complex algorithms.
17
 
 
12
 
13
  In light of these considerations, it is crucial for you to identify the specific NLP task that best aligns with their needs. Below is a list of common NLP tasks performed by AI models. By understanding the distinctive requirements and capabilities of each task, you can more effectively choose or design a model that optimally supports your objectives as you continue your journey in leveraging AI technology.
14
 
15
+ * [Andrew NG : Sequence Models Complete Course](https://www.youtube.com/watch?v=S7oA5C43Rbc)
16
+
17
+
18
  ### 1. **Feature Extraction**
19
  Feature extraction in NLP involves identifying and isolating useful information from raw data (such as text) that models can process to perform tasks like classification or clustering. This could involve extracting specific words, phrases, sentiment scores, or syntactic patterns which serve as inputs for more complex algorithms.
20