Blogs

1. The Future of RAG in an Era of Expanding Contexts
   • As language models evolve to process massive amounts of data, questions arise about the future of retrieval-augmented generation (RAG). Dive into the possibilities and limitations of expanded contexts in our latest post.
   • Unveiling the Potential: From Gemini 1.5 to RingAttention Techniques
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2. EasyEdit: A User-Friendly Framework for Editing Knowledge in Large Language Models
   • Large language models (LLMs) like GPT-3, ChatGPT, and PaLM have shown immense promise in generating human-like text. However, they still face issues with outdated or incorrect knowledge in their outputs.
   • To address this, researchers from Zhejiang University recently proposed EasyEdit — an easy-to-use knowledge editing framework for LLMs. In this post, I provide an overview of their work.
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3. Navigating the Ethical Waters of AI: A Personal Exploration with Mixtral 8x7B
   • In this Medium article, I delve into the intricate web of challenges and possibilities that AI presents, exploring the recent developments in language models and their ethical implications.
   • Unveiling the Latest: Mixtral 8x7B and Dolphin 2.5 Mixtral 8x7B
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4. Hypothesis Testing
   • August 1, 2022
   • My LinkedIn article on Hypothesis Testing, exploring the statistical method using probabilistic data to make decisions.

   Open Immersive Reader

   • What is Hypothesis Testing?
   • হাইপোথিসিস টেস্টিং হল একটি পরিসংখ্যানগত পদ্ধতি যা পরীক্ষামূলক ডেটা ব্যবহার করে পরিসংখ্যানগত সিদ্ধান্ত নিতে ব্যবহৃত হয়।
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