Sakil Ansari's repositories
LLM-PlayLab
This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and impact of these models across various applications.
RAG_with_TLM
Trustworthy Retrieval-Augmented Generation with the Trustworthy Language Model
Essential-Data-Science-Case-Study-Interview-Questions
This repository contains a diverse collection of case studies and use cases commonly asked in data science interviews across different companies.It includes well-documented implementations of these use cases to provide valuable insights and learning opportunities.
RAG_using_Llama-3
RAG_using_Llama 3
Time-Series-Forecasting-Using-LLM
Time Series Forecasting Using LLM
My-Data-Science-Certifications
My Data Science Certifications
forecasting-using-TimeGPT
forecasting using TimeGPT
Llama2_Model_finetuning
Llama2_Model_finetuning
RAG_Using_llama2_llamaindex
RAG_Using_llama2_llamaindex
amazon-sagemaker-generativeai
Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.
Artilcle-Generation-Using-Bedrock
This is a complete End To End Project On AWS Using AWS Bedrock And AWS Lambda
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Customers-Satisfaction-with-the-Hotel-Services
Customers-Satisfaction-with-the-Hotel-Services
customers-satisfaction-with-the-hotel-services.-
customers satisfaction with the hotel services.
Generative-AI-Crash-Course_Session-02
Generative AI Crash Course_Session 02
Hugging-Face-x-LangChain
Hugging Face x LangChain
Image-Captioning-using-paligemma
Image Captioning using paligemma
Inferencing_with_Nvidia_NIM
Inferencing_with_Nvidia_NIM
Invoice-Extractor_using_gemini1.5pro
Invoice-Extractor_using_geminin1.5pro
Llama-3.1
Llama 3.1
LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
llm4regression
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
prompt_engineering_techniques
prompt_engineering_techniques
RAG_Using_Mistral_7b_llamaindex
RAG_Using_Mistral_7b_llamaindex
RAG_zephyr_7b
RAG_zephyr_7b
Text_generation_m-a-p-neo_7b
Text_generation_m-a-p/neo_7b
Text_generation_using_gemma_instruct
Text_generation_using_gemma_instruct
Text_Generation_using_Mistral-7B-Instruct-v0.3
Text_Generation_using_Mistral-7B-Instruct-v0.3
Unveiling-Insights-from-Audio
SoundScape Intelligence: Unveiling Insights from Audio