Sachin Solkhan’s Post

LLM Parameters: The Blueprint of #AI Performance. LLM parameters essentially define the behavior of an AI model. They are the factors that an AI system learns from its training data and subsequently utilizes to make predictions. These parameters shape the AI’s understanding of language, influencing how it processes input and formulates output. Each parameter is like a piece in a grand jigsaw puzzle, with the complete picture being a model’s ability to generate human-like text. Below a set of links to understand what Parameters are for LLMs: https://lnkd.in/dJmZR7Vj https://lnkd.in/dNxnnUrr #LLM #MachineLearning AI generated image ⤵️

Are LLMs just memorizing answers? A groundbreaking analysis by Scale AI has uncovered potential overfitting issues with large language models on popular benchmarks. Key Points: - Models performed far worse on a new dataset designed to mimic an existing benchmark - Performance drops of up to 13% suggest models may be simply memorizing answers - Newer models showed less overfitting, indicating more robust reasoning abilities - Data contamination from benchmarks is suspected as a contributing factor Even models exhibiting overfitting showed some capacity for novel problem-solving, but not at the level benchmark scores implied. As an AI researcher, these findings are incredibly concerning if true overfitting is occurring at scale. It emphasizes the critical need to develop more reliable evaluation methods that can accurately assess an LLM's true reasoning capabilities as the technology rapidly progresses. #ai #artificialintelligence #ainews #LLMs #scaleai

Multiple studies on AI's effect on productivity have come to the same conclusion: New or low-skilled workers stand to gain the most by leveraging LLMs. If you are just starting out or are a young professional, the time for you to start using AI for work is now. Link to a legal-specific research paper which had similar findings - https://lnkd.in/etQCC8PU #artificialintelligence #ai #legaltech

New research explored the robust understanding and reasoning capabilities of text-only and multimodal versions of GPT-4 using the ConceptARC benchmark. The study evaluated GPT-4 on detailed, one-shot prompting and concluded that neither version has developed robust abstraction abilities at humanlike levels. Human-Level Cognitive Capabilities are inherent limitations of LLMs irrespective of the volume of the data and massive compute used to train the models therefore Human-Level AI is not possible with LLMs. Hence we suggest that a radically different approach that starts with "Cognition" (not the "Data") is key to achieving Human-Level AI. Check out the white paper "Concepts Is All You Need" for more details: https://lnkd.in/gEpfBSB3 #AGI, #HumanLevelAI, #AI, #Aigo, #CX, #CognitiveAI, #GenAI, #LLMs

This AI Study from MIT Proposes a Significant Refinement to the simple one-dimensional linear representation hypothesis In a recent study, a team of researchers from MIT introduced the linear representation hypothesis, which suggests that language models perform calculations by adjusting one-dimensional representations of features in their activation space. According... https://lnkd.in/eSnDVxZ4 #AI #ML #Automation

Clinical trials are getting more and more complex with diverse data points being considered for accuracy of the study. Managing this shift in approach requires strong aptitude of emerging technologies like AI/ML. Learn how #IQA can transform your #clinicalresearch with #AI. #clinicaltrials

This Harvard Business School and Boston Consulting Group (BCG) study examines the impact of AI on complex, knowledge-intensive tasks. 758 consultants that used GPT-4 completed 12% more tasks with 40% higher quality, compared to those without AI access. Very interesting to see how GPT-4 can be some impactful in very complex fields. Full article: https://lnkd.in/gdU7hZQc #AI #Productivity #KnowledgeWork #HBS #BCG #GPT4

Quixl - The AI Accelerator, launched by Integra, is a next-gen AI platform promising accelerated AI adoption and focuses on small language models, highlighting their efficiency and versatility in reducing barriers to AI adoption. For more insights, explore their latest blog on the power of small language models. #AI #MachineLearning #SmallLanguageModels #Quixl #Integra #Innovation #Technology

Organisations across sectors are increasingly adopting Artificial Intelligence (AI). This is because AI can learn and think with little to no human intervention, allowing businesses to automate repetitive and time-consuming tasks. Industry experts predict that we haven't seen the best of the technology yet. They forecast that it will continue to advance in so many ways. Some trends to expect are hyper-personalised, open source and edge AI. Want to explore more on this? Check out this article: https://bit.ly/3V8Rkcj #ArtificialIntelligence #AI #AITrends #AIPredictions

Organisations across sectors are increasingly adopting Artificial Intelligence (AI). This is because AI can learn and think with little to no human intervention, allowing businesses to automate repetitive and time-consuming tasks. Industry experts predict that we haven't seen the best of the technology yet. They forecast that it will continue to advance in so many ways. Some trends to expect are hyper-personalised, open source and edge AI. Want to explore more on this? Check out this article: https://bit.ly/3V8Rkcj #ArtificialIntelligence #AI #AITrends #AIPredictions