Update starred repositories

README.md

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 ## Jupyter Notebook 
 
+- [ray-project/llm-applications](https://github.com/ray-project/llm-applications) - A comprehensive guide to building RAG-based LLM applications for production.
 - [samvher/bert-for-laptops](https://github.com/samvher/bert-for-laptops) - A BERT that you can train on a (gaming) laptop.
 - [veekaybee/viberary](https://github.com/veekaybee/viberary) - Good books, good vibes
 - [iamarunbrahma/finetuned-qlora-falcon7b-medical](https://github.com/iamarunbrahma/finetuned-qlora-falcon7b-medical) - Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset
@@ -2089,7 +2090,6 @@
 - [snakers4/silero-models](https://github.com/snakers4/silero-models) - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
 - [152334H/tortoise-tts-fast](https://github.com/152334H/tortoise-tts-fast) - Fast TorToiSe inference (5x or your money back!)
 - [fpgaminer/GPTQ-triton](https://github.com/fpgaminer/GPTQ-triton) - GPTQ inference Triton kernel
-- [Significant-Gravitas/Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT) - An experimental open-source attempt to make GPT-4 fully autonomous.
 - [tloen/alpaca-lora](https://github.com/tloen/alpaca-lora) - Instruct-tune LLaMA on consumer hardware
 - [microsoft/AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners) - 12 Weeks, 24 Lessons, AI for All!
 - [DataTalksClub/data-engineering-zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp) - Free Data Engineering course!
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 ## Kotlin 
 
+- [mobile-dev-inc/maestro](https://github.com/mobile-dev-inc/maestro) - Painless Mobile UI Automation
 - [optiv/InsecureShop](https://github.com/optiv/InsecureShop) - An Intentionally designed Vulnerable Android Application built in Kotlin.
 - [PortSwigger/turbo-intruder](https://github.com/PortSwigger/turbo-intruder) - Turbo Intruder is a Burp Suite extension for sending large numbers of HTTP requests and analyzing the results.
 - [JetBrains/compose-multiplatform](https://github.com/JetBrains/compose-multiplatform) - Compose Multiplatform, a modern UI framework for Kotlin that makes building performant and beautiful user interfaces easy and enjoyable.
@@ -2857,7 +2858,7 @@
 - [asahi417/lmppl](https://github.com/asahi417/lmppl) - Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).
 - [IntelligenzaArtificiale/Free-Auto-GPT](https://github.com/IntelligenzaArtificiale/Free-Auto-GPT) - Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation do
 - [AIGC-Audio/AudioGPT](https://github.com/AIGC-Audio/AudioGPT) - AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
-- [gventuri/pandas-ai](https://github.com/gventuri/pandas-ai) - PandasAI is a Python library that integrates generative artificial intelligence capabilities into pandas, making dataframes conversational
+- [gventuri/pandas-ai](https://github.com/gventuri/pandas-ai) - PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational
 - [IST-DASLab/gptq](https://github.com/IST-DASLab/gptq) - Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
 - [IST-DASLab/sparsegpt](https://github.com/IST-DASLab/sparsegpt) - Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
 - [replit/ReplitLM](https://github.com/replit/ReplitLM) - Inference code and configs for the ReplitLM model family
@@ -2913,6 +2914,7 @@
 - [sail-sg/EditAnything](https://github.com/sail-sg/EditAnything) - Edit anything in images  powered by segment-anything, ControlNet, StableDiffusion, etc.
 - [ShreyaR/guardrails](https://github.com/ShreyaR/guardrails) - Adding guardrails to large language models.
 - [yoheinakajima/babyagi](https://github.com/yoheinakajima/babyagi) - 
+- [Significant-Gravitas/Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT) - An experimental open-source attempt to make GPT-4 fully autonomous.
 - [twitter/the-algorithm-ml](https://github.com/twitter/the-algorithm-ml) - Source code for Twitter's Recommendation Algorithm
 - [dbasch/semantic-search-tweets](https://github.com/dbasch/semantic-search-tweets) - Run semantic queries over your twitter history
 - [approximatelabs/sketch](https://github.com/approximatelabs/sketch) - AI code-writing assistant that understands data content