Matteo PelatiforLangDB Blogblog.langdb.ai·Feb 12, 2025How Your LLM Interaction Data is a Goldmine for AI InnovationIf you’re deploying AI agents or LLM-powered applications in your business, you might be sitting on an untapped goldmine—one that could revolutionize your product, customer experience, and competitive edge. The secret? The raw, unstructured data gene...1 like·206 readsllm
Sujit Nirmalblackshadow.hashnode.dev·Feb 5, 2025Understanding the Publication Process in Machine LearningIdentify a Suitable Research Topic Begin by selecting a research question that addresses a gap in current ML knowledge or proposes an innovative approach. Ensure that your topic is both original and contributes meaningfully to the field. Conduct a ...ML research
Triumph Nnaemeka Ugojigameofproduct.hashnode.dev·Jan 30, 2025AI Agents Won’t Steal Your Job (But They’ll Definitely Change It)Let me paint you a picture: It’s 2 a.m., and you’re elbow-deep in Jira tickets. You have a raging headache, and your Slack is going off because your stakeholders won’t stop arguing about which feature should be a priority. Suddenly, an email pings: “...automation
sayem pashasayem1.hashnode.dev·Jan 30, 2025DeepSeek R1 vs Llama 3: Which Model is Right for Your AI Project?Introduction DeepSeek have recently captured the attention of AI enthusiasts for its DeepSeek R1 model. Specially, this is considered as a significant contribution in open source AI community after Llama 3. Both are impressive, but they employ very d...1 likeDeepSeekR1
behrooz bozorgchamyblog.behroozbc.ir·Jan 24, 2025Exploring the Depths of LLM Fine-Tuning: A Curated RepositoryIn the world of machine learning, particularly in the domain of Large Language Models (LLMs), the post-training phase is where the magic happens. This is where models are fine-tuned to not only understand but also respond with accuracy, diversity, an...llm
Amey Mukedistillation-blog.hashnode.dev·Jan 13, 2025Optimizing Efficiency in Large Language Models Through DistillationIn the rapidly evolving field of artificial intelligence, distillation has emerged as a powerful technique for creating smaller, more efficient models from bigger and better large language models (LLMs). This process transfers knowledge from a large,...63 readsllm
Gerard Sansai-cosmos.hashnode.dev·Jan 4, 2025The Illusion of Understanding: Why AI Isn't Really Following Your InstructionsHave you ever watched in amazement as an AI system perfectly executes your request, only to be baffled moments later when it completely misses the point of a seemingly simpler instruction? This paradox isn't just a quirk of artificial intelligence – ...AI
Arshan Dabirsiaghinahsra.hashnode.dev·Dec 30, 2024Model providers give good advice for a changeThis is a great piece by Anthropic. Usually the model providers push you towards complex, high maintenance, and ultimately flakey solutions. This resonates. It seems we all now agree that LLMs are primarily good at data extraction, data summarization...3 likes·108 readsAI
Arpit Dubeyarpitdubey.hashnode.dev·Dec 27, 2024Building a System to Identify Sarcasm in Hindi Twitter PostsIntroduction "भाषा केवल संवाद का साधन नहीं, यह भावनाओं और संस्कृति का प्रतिबिंब है।" (Language is not just a medium of communication; it’s a reflection of emotions and culture.) "भाषा के में व्यंग्यता को समझना, मशीनों के लिए मैजिक है।" (Decoding sar...Deep Learning
Kaval Rathodfinetuningvsrag.hashnode.dev·Dec 25, 2024Exploring Fine-Tuning and Retrieval-Augmented Generation: What's the Difference?AspectFine-TuningRetrieval-Augmented Generation (RAG) DefinitionAdjusts the weights of a pre-trained model using specific datasets for improved performance.Enhances LLM responses by retrieving relevant information from external databases. Methodo...2 likesAI
