Hello Everyone! 👋 I'm thrilled to share my latest blog post on "Language Modeling and Its Applications" based on my internship project at Innomatics Research Labs. 🤖 In this blog, I explore: What is Language Modeling? Applications of Language Modeling in NLP Steps to Model a Language 🔗 Dive deeper into the world of language modeling and its significance in NLP by reading my blog post. #genai #languagemodelling #llms #ai #nlp
Sravya Degala’s Post
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Scientists Use Game Theory to Improve Language Models 😲 Researchers at MIT's CSAIL have developed a new technique using game theory, called the "consensus game," to improve the reliability of large language models 🤖📚. This approach enhances AI's text comprehension and generation by integrating multiple perspectives during training, leading to more nuanced and accurate communication 🗣️. By simulating a cooperative game 🎮 between different AI components, the method achieves better performance in tasks like reading comprehension, math problem-solving, and dialogues, making AI responses more consistent and trustworthy 🌟. Read more at [MIT News](https://lnkd.in/e7Wik2sP).
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Curious about how AI could learn #language and #emotion just like humans? The #Xzistor #Mathematical #Model of #Mind presents a revolutionary approach, integrating cognitive architecture and reinforcement learning to push beyond traditional AI. Explore how this model could shape the future of #intelligent #agents. https://lnkd.in/e7Zat8fx #AI #CognitiveScience #ReinforcementLearning #ArtificialIntelligence #FutureOfAI
Exploring Artificial Agent Language Development through the Xzistor Mathematical Model of Mind
link.medium.com
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Hallucinations? Maybe not ... What if your chat bot was being completely accurate but its output was based on a conceptual understanding of the world that lies beyond what your brain is able to grasp … If you've been curious about how LLMs think and reason, and what may lie ahead with super large models such as the Amazon Web Services (AWS) Olympus model, check out my latest Medium article in which I explore recent research studies from Mor Geva Pipek and her colleagues that look into the "Dark Matter" of transformer models - their massive neural networks. #ai #generativeai #genai #llm #foundationalmodel #neuralnetwork
Just like humans — What LLMs are “thinking” and the promises of the Olympus Model
link.medium.com
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If you are keen to move beyond the ‘ooh it’s AI’ phase of understanding, here is a great article from Amy Stapleton on the latest release from a company called Anthropic. A major LLM vendor although not as well known to most of us as OpenAI. Amy captures the next wave in organisational purchasing behaviour. Finding the right fit in terms of the power and cost of using Generative AI. Biggest is no longer always best. She also mentions how this trend will result in the way CCaaS platforms will evolve. Just a five minute read. Great investment in self education. #llms #generativeai #ccaas
#LLM offerings are evolving at quantum speeds and Amy Stapleton discusses the power of Anthropic's new models, especially in light of the need for "Big Enough" or domain-specific Language Models. https://lnkd.in/gJNYppRb
The Goldilocks View of Anthropic's New Claude 3 Models
https://opusresearch.net/wordpress
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🚨 NOLA AI CEO Mitch Klein discusses the risks of releasing large language models (LLMs) too soon 🚨 We have solutions. Follow Us. #LLMs #SLMs #Science #Math #EdgeDevices #ClimateChange #MoreMathLessGPUs. #NOLAtech #LousianaCompanies #DeepTech
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Dear LinkedIn Family, I have commenced sharing my insights through Medium articles focusing on the latest advancements in AI. Your support in this endeavor would be greatly appreciated. Here is the first drop! #DataScience #ArtificialIntelligence #Medium #Hanooman #LLM
Introducing Hanooman: A Speech-Enabled Large Language Model
link.medium.com
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Can the behavior of AI inform us about humans? New paper adds to the debate by examining how LLM search behaviors and decisions, by Daniel Albert, Stephan Billinger
Reproducing and Extending Experiments in Behavioral Strategy with Large Language Models
arxiv.org
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https://lnkd.in/eY4yityK My Saturday morning reading took me in a totally different direction when I came across "Surprising results when challenging generative AI to the reverse Turing test". The background to this was my watching earlier this week "The Imitation Game" in which a mathematician "Alan Turing" leads a team of cryptanalysts as they work feverishly to break the German's notorious Enigma code. I recommend that you add this article from forbes.com to stretch the limits of your mind. Consider this as a morning mental exercise to explore beyond the edge of your knowledge base even if it's not within your normal reading genre. If you become confused, that's normal. it means you are unlearning so you can learn new stuff. Have fun.
Surprising Results When Challenging Generative AI To The Reverse Turing Test
social-www.forbes.com
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🔥That's the #AI I love! Google DeepMind combined a #reinforcement-learning based system for formal #math #reasoning with a #neural language model augmented with a #rule-bound #deduction #engine to solve 4 out of 6 problems from this year’s #International #Mathematical #Olympiad. The result? It achieved the same level as a silver medalist in the competition for the first time. That's such a brilliant example where #AI can help experts solve problems faster and speed up the expansion of our #knowledge space. #hightech #artificialintelligence #logic #innovation https://lnkd.in/eC-eDvPM
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📅 Join us on March 26 to for Vlad Iliescu's talk, "Prompt Engineering: 0 to 100 Real Quick" It will improve your understanding of GPT models and help you acquire the skills needed for effective prompt engineering. Plus, you'll delve into the functionality of large language models and learn practical techniques for producing precise AI outputs. 𝗧𝗮𝗹𝗸 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: - In-depth exploration of large language models - Differentiating zero-shot and few-shot prompting strategies - Practical guidance for guiding AI models in doing your bidding Register now! 🚀
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