dasarpai
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@@ -5,6 +5,8 @@ https://aistudio.google.com/app/gallery
 
 Explore prompt ideas for working with the latest Gemini models.
 
+## Capabilities
+
 1. Audio Diarization: Transcribe audio with speaker details and timestamps.
 1. Video Q&A: Ask questions about key details in a video.
 1. Recipe to JSON: Create recipe in JSON mode using an image.
@@ -35,4 +37,14 @@ Explore prompt ideas for working with the latest Gemini models.
 1. Cook Helper: Get recipe ideas based on an image of ingredients you have on hand.
 1. Game Character Brainstorm: Create a character design based on a provided context.
 1. Modify writing style: Change the tone and writing style of a blurb.
-1. Regexed: Convert natural language queries and constraints to regex constructs.
+1. Regexed: Convert natural language queries and constraints to regex constructs.
+
+## My Experiments 
+
+### Gemini Genai
+- Gemini Prompt Gallery, Task which can be done with Gaemini-1.5-flash
+- Story Generation with JavaScript
+- Story Generation with Python
+
+### Geimini GenAI-Js
+- Gemini GenAI-Js
@@ -2,6 +2,26 @@ Readme by Hari Thapliyal
 
 # comet.ml 
 
+## What is Comet.ml
+[Comet]((https://www.comet.com/site/)) Automatically track all your prompt engineering work. Run automated evaluations on your LLM responses to optimize your applications before and after they hit production.
+
+Debug and evaluate your LLM applications with Opik (Opik Open Source LLM Evaluation)
+- Automatically track all your prompt engineering work. Run automated evaluations on your LLM responses to optimize your applications before and after they hit production.
+
+
+Track and visualize your model training runs with Experiment Management (Commet Experiment Management)
+- Log all your machine learning iteration to a single system of record. Make it easy to reproduce a previous experiment and compare the performances of training runs.
+
+Monitor ML model performance in production with Comet MPM (Commet Model Monitoring)
+- Track data drift on your input and output features after your model is deployed to production. Set customized alerts to capture model performance degradation in real time.
+
+Store and manage your models with Model Registry (Commet Model Registry)
+- Create a centralized repository of all your model versions with immediate access to how they were trained. Promote models to downstream production systems with webhooks
+
+Create and version datasets with Artifacts (Commet Artifacts)
+- Know which exact dataset version a model was trained on for auditing and governance purposes. Leverage remote pointers to reference data already stored in the cloud. 
+
+## Experiments Run
 To reduce the friction caused by disconnected ML tech stacks and to help companies realize value from ML, Comet focuses on the three core elements of development: 
 - experiment management, 
 - model management, and 
@@ -17,4 +37,9 @@ https://www.comet.com/docs/opik/quickstart
 - I ran these notebooks on colab.
 - API key needed are available in the google secret
 
+## Links
+- [Github Repo & Readme](https://github.com/dasarpai/DAI-Techstack-All/blob/main/LLM/comet.com)
+- [Colab Groq](https://colab.research.google.com/github/dasarpai/DAI-Techstack-All/blob/main/LLM/comet.com/groq.ipynb)
+- [Colab langgraph](https://colab.research.google.com/github/dasarpai/DAI-Techstack-All/blob/main/LLM/comet.com/langgraph.ipynb)
+- [Colab llama_index](https://colab.research.google.com/github/dasarpai/DAI-Techstack-All/blob/main/LLM/comet.com/llama_index.ipynb)