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Retrieval-Augmented Generation (RAG) techniques face significant challenges in integrating up-to-date information, reducing hallucinations, and improving response quality in large language models (LLMs). Despite their effectiveness, RAG approaches are hindered by complex implementations and prolonged response times. Optimizing RAG is crucial for enhancing LLM performance, enabling real-time applications in specialized domains such as medical diagnosis, where…
The demand for speed and efficiency is ever-increasing in the rapidly evolving landscape of cloud applications. Cloud-hosted applications often rely on various data sources, including knowledge bases stored in S3, structured data in SQL databases, and embeddings in vector stores. When a client interacts with such applications, data must be fetched from these diverse sources…
There has been a lot of development in AI agents recently. However, one single goal—accuracy—has dominated evaluation and is vital to agent development. According to a recent study out of Princeton University, agents that are unnecessarily complicated and costly to run are the result of focusing only on accuracy. The team suggests a change to…
In solving real-world data science problems, model selection is crucial. Tree ensemble models like XGBoost are traditionally favored for classification and regression for tabular data. Despite their success, deep learning models have recently emerged, claiming superior performance on certain tabular datasets. While deep neural networks excel in fields like image, audio, and text processing, their…
Recent developments in the field of Artificial Intelligence are completely changing the way humans engage with video material. The open-source chat video agent ‘Jockey‘ is a great example of this innovation. Jockey provides improved video processing and interaction by utilizing the potent powers of Twelve Labs APIs and LangGraph. Twelve Labs offers modern video understanding…
Claude AI, a leading large language model (LLM) developed by Anthropic, represents a significant leap in artificial intelligence technology. Let’s explore Claude AI in detail, highlighting its development, capabilities, and comparisons with prominent AI models like ChatGPT. Development and Ethical Framework Claude AI was developed by Anthropic, a startup co-founded by former OpenAI employees. Known…
Machine learning models for vision and language, have shown significant improvements recently, thanks to bigger model sizes and a huge amount of high-quality training data. Research shows that more training data improves models predictably, leading to scaling laws that explain the link between error rates and dataset size. These scaling laws help decide the balance…
Qdrant, a leading provider of vector search technology, has introduced BM42, a new algorithm designed to revolutionize hybrid search. For the past four decades, BM25 has been the standard algorithm used by search engines, from Google to Yahoo. However, the advent of vector search and the introduction of Retrieval-Augmented Generation (RAG) have highlighted the need…
Large language models (LLMs) have gained significant capabilities, reaching GPT-4 level performance. However, deploying these models for applications requiring extensive context, such as repository-level coding and hour-long video understanding, poses substantial challenges. These tasks demand input contexts ranging from 100K to 10M tokens, a significant leap from the standard 4K token limit. Researchers are grappling…
ChatGPT and other generative AI-powered tools have become indispensable in today’s business landscape. They offer various advantages that help businesses stay ahead of the competition, increase productivity, and improve their bottom line. Here are the top 10 ChatGPT use cases that professionals, CxOs, and business owners can widely adopt. Customer Support Automation: One of ChatGPT’s…