update nithins slide

.gitignore

@@ -35,3 +35,5 @@ src/vendor-*
 win_configuration.bat
 /package/pkg-working
 
+.vscode/
+

talks/nitc-fossmeet-2024/llm-101.qmd

@@ -8,7 +8,7 @@ comments: false
 format:
   revealjs:
     slide-number: true
-    footer: "You can access slides @ [kurianbenoy.com/talks/nitc-fossmeet-2024/llm-101.html](https://kurianbenoy.com/talks/nitc-fossmeet-2024/llm-101.html)"
+    footer: "@kurianbenoy  || You can access slides => [kurianbenoy.com/talks/nitc-fossmeet-2024/llm-101.html](https://kurianbenoy.com/talks/nitc-fossmeet-2024/llm-101.html)"
 ---
 
 ## Who am I
@@ -35,17 +35,17 @@ format:
 
 ![](./chatgpt.png)
 
-## Applications of LLMs
-
-- Indic Subtitler
-- Chatpdf
-- Perplexity
-- cursor
-
 ## About cursor
 
 ![](./cursor_tweet.png)
 
+## Other cheap or inexpensive tools for Code generation
+
+- [Github Copilot](https://github.com/features/copilot)
+- [VS Codium](https://vscodium.com/)
+- [Amazon Code Whisperer](https://aws.amazon.com/codewhisperer/)
+- [OpenAI Code Interpreter with ChatGPT Plus](https://platform.openai.com/docs/assistants/tools)
+
 ## Let's build something cool
 
 ::: {.incremental}
@@ -90,3 +90,34 @@ format:
 ## How to fine tune LLM models?
 
 - You need to fine-tune LLMs for only domain specific models
+
+## Slides generated by Nithin by Claude3 Opus Sonnet
+
+## Agenda
+
+- 1. Introduction to GPT
+- 2. How GPT Works
+- 3. Applications and Use Cases
+- 4. Future of GPT and AI
+
+## Introduction to GPT
+
+- What is GPT (Generative Pre-trained Transformer)?
+- Key breakthroughs and milestones in language models
+- Importance and impact of GPT on natural language processing
+
+## How GPT Works
+
+- Transformer architecture and self-attention mechanism
+- Pre-training on large text corpora
+- Fine-tuning for specific tasks and applications
+- Key capabilities: text generation, language understanding, question answering
+
+## Applications and Use Cases
+
+- Conversational AI and virtual assistants
+- Content generation (articles, stories, code)
+- Language translation and summarization
+- Question answering and knowledge extraction
+- Potential impact on various industries (education, healthcare, finance, etc.)
+