Rakesh Sharma’s Post

Here's a review from Meta AI, when asked about the famous Hamster Kombat in Nigeria Pidgin English. It's intriguing to know that AIs, could understand slangs and languages other than English Language. And the funny part of this excerpt, is in the last paragraph where Meta AI showed cluelessness about the subject matter 😂😂 #AI #HamsterKombat #Web3games #launchdate #26thSept

Do you know about the Battle of Salamis? What if we told you there’s a connection between this historic battle and our artificial intelligence... Indeed, Fentech designed its solution around the credo: unity is strength. Ten small algorithms are better than one large one. So don’t wait any longer, and take a look at our website to learn more about our innovative solution that harnesses the power of collaborative AI agents. #artificialintelligence #collaboration #GenAI #technology

🔍 GenAI and Salamis: Ancient Lessons for Modern Innovation The Battle of Salamis, an epic confrontation where the Greeks triumphed over the immense Persian fleet, teaches us a valuable lesson. Against all odds, it was the small, agile, and well-coordinated Greek triremes that ensured victory. Today, in the world of artificial intelligence, we see a fascinating parallel. GenAI (Generative Artificial Intelligence) is not always dominated by the largest algorithms or the biggest large language models (LLMs). Often, it is the smaller agents, well-designed and especially those that know how to collaborate effectively, that come out on top. At Fentech, we firmly believe that innovation lies in the art of integrating and collaborating between agile and specialized agents. Like the Greeks at Salamis, we know that victory is not about size, but about strategy and synergy. #AI #GenAI #Innovation #TechHistory #CollaborativeAI #MachineLearning

A recent study shed light on several limitations of traditional Retrieval-Augmented Generation (RAG) approaches, prompting a reevaluation of its efficacy. Firstly, the reliance on static rules to determine when to utilize RAG within conversational interfaces often leads to suboptimal outcomes. Additionally, the strategies for selecting what information to retrieve tend to be narrow, often focusing solely on the most recent sentence or a few tokens from the large language model (LLM). Consequently, inefficient retrievals occur, contributing unnecessary noise and increasing computational costs. Moreover, the lack of optimization in trigger mechanisms can result in prolonged inference wait times, potentially causing timeouts. Crucially, RAG fails to encompass the entirety of the conversation's contextual span, further limiting its effectiveness. Addressing these shortcomings is paramount for enhancing the utility and efficiency of RAG implementations in conversational systems. #rag #llm #generativeai #ml #ai

I feel the answer to "What is the origin of AI" is purely subjective. Would love to know your thoughts as well #AI #ML #ArtificialIntelligence #MachineLearning #ProdManagement #web3 #crypto

This is how a chemicals large language model look like... #ai #artificialintelligence #largelanguagemodel

Large Language Model Hallucination: It is the phenomenon where the models generate coherent nonsensical outputs. Can you code to remove the hallucination - No, trying to remove the hallucinations removes the essence of the LLM model itself. Can I use LLM for chatbots - No, tell me otherwise #AI #LLM #GenAI

"aligning AI with “universal values” must, above all, mean the recognition of particularity — plural belief systems, contesting worldviews and incommensurate cultural sensibilities that reflect the diverse disposition of human nature." #AI #ethics https://lnkd.in/dtt4dJ_U

There is no universal agreement on one conception of the good life, nor the values and rights which suits all times, all places and all peoples. From the ancient Tower of Babel to the latest large language models, human nature stubbornly resists the rationalization of the many into the one. Aligning AI with “universal values” must, above all, mean the recognition of particularity — plural belief systems, contesting worldviews and incommensurate cultural sensibilities that reflect the diverse disposition of human nature. This explains why making rules for an eventually more intelligent system is so difficult as we don’t have answers on how to sync our thoughts about what is good and what is not. This is why I think AI will just amplify many of our challenges. Great short article from Noema magazine. https://lnkd.in/dDwX8B4B

We've been captivated by #GenerativeAI - the next phase of our #GenAI journey is to use #LLM & #SLM together to provide more versatile solutions. The future of #AI is #AgenticAI ! buff.ly/48JFNXg #innovation #disruption #ArtificialIntelligence #SymbolicAI