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View my latest blog on Retrieval-Augmented Generation and its role in shaping next-generation applications #GenerativeAI #RAG

The field of artificial intelligence (AI) has seen a remarkable evolution over the past several decades, with two distinct paradigms emerging - symbolic AI and subsymbolic AI. Symbolic AI, which dominated the early days of the field, focuses on the manipulation of abstract symbols to represent knowledge and reason about it. Subsymbolic AI, on the other hand, emphasizes the use of numerical representations and machine learning algorithms to extract patterns from data. While these two approaches have their respective strengths and applications, the gap between them has long been a source of debate and challenge within the #AI community. The goal of bridging this gap has become increasingly important as the complexity of real-world problems and the demand for more advanced AI systems continue to grow. https://lnkd.in/g5fPEq3b

Explore the frontier of Generative AI with our latest blog post on Retrieval-Augmented Generation (RAG). Discover how this innovative approach enriches AI capabilities, enhancing accuracy and context understanding. Join us as we delve into the future of AI technology. Read more:- #GenerativeAI #ArtificialIntelligence #RAG #RetrievalAugmentedGeneration #AIinnovation #MachineLearning #SemanticSearch #AIcontext #TechnologyBlog #DigitalInnovation

Are you fond of the term, parameter efficient fine tuning? Then, its time to delve into the world of PEFT and explore how it's changing the game for AI enthusiasts and practitioners alike. Fine-tuning involves taking a pre-trained #AI model and adjusting its parameters to suit a specific task or dataset. Visit >> https://lnkd.in/gv6WjWYj #Technology #Business #artificialintelligence

Lexim AI is at the leading edge of applying AI to real-world problems. Fine-tuning models is our bread and butter. Here is a brief summary of a few techniques. https://lnkd.in/gS52G_ck

Meet Sparse Llama, new open-source AI model(s) that’s setting new standards in efficiency. With 70% sparsity, 3x faster inference, and full accuracy, it’s making Large Language Models more accessible and democratized. Explore the future of AI with us. #SparseLlama #AI #LLM #opensource https://lnkd.in/dXRHmzXB

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So, when to Fine-Tune Your LLM? 1️⃣ Task Specificity: If your project demands tailored solutions 2️⃣ Data Availability: When you have plenty of specific data to train with 3️⃣ Dynamic Environments: When data fluctuates or demands real-time adaptability Curious to learn more? Read our full article https://bit.ly/3UVLtZf, or simply get in touch with us! We will help you on your AI, MLOps and LLMs journey. #AI #LLMs #MachineLearning #UbiOps #2024Trends

An insightful piece about a major paradox within large AI language models – if these algorithms can self-correct, why don't they give the right answer initially? As feedback plays a key role in how well AI solutions learn and evolve, this article highlights the importance of embedding requirements directly and explicitly into the pre-hoc prompts. This article poses some interesting challenges and questions regarding GenAI's accuracy and ways of learning. #GenAI #LLM #AIprompt

We've prepared an essential resource for anyone navigating the world of Artificial Intelligence: a Glossary of AI Terms! Understanding AI is no longer optional. Our glossary breaks down complex jargon into bite-sized, easy-to-understand definitions, making AI accessible for all. Check it out and let us know if we've missed anything crucial! https://lnkd.in/gCx69VPP