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The Current State and Future Outlook of AI: Insights from Gartner’s 2024 Hype Cycle
Artificial Intelligence (AI) has become a transformative force across various industries, with advancements accelerating at an unprecedented pace. According to Gartner’s 2024 Hype Cycle for Artificial Intelligence, AI technologies continue to evolve, providing significant potential for innovation and disruption. Current State of AI In 2023, AI, particularly generative AI (GenAI), dominated the tech landscape, driving…
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Exploring Vector Databases: Types and Use Cases
Vector databases are revolutionizing how we search and analyze complex, high-dimensional data. Unlike traditional relational databases that rely on exact matches, vector databases excel at finding similar data points using vector embeddings. This capability unlocks a vast range of applications across various domains. At the heart of vector databases lies the concept of vector embeddings.…
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Efficiently Serving Large Language Models (LLMs) with Advanced Techniques
Large Language Models (LLMs) have become indispensable tools in natural language processing, but their deployment and efficient serving pose significant challenges due to computational demands. In this comprehensive technical article, we will delve into advanced techniques such as KV (Key-Value) caching, batching prompts into a single tensor, continuous batching, quantization, and parameter-efficient fine-tuning like LoRA…
