Earlier this year, a prevalent misconception was that AI applications were just thin wrappers on top go large language models like OpenAI or Mistral AI. This perspective has been thoroughly debunked, as both our partners and the broader shipping industry now recognize the indispensable role of advanced applications like Sealenic in effectively harnessing AI technology within their organizations. The future holds immense promise, and as Sealenic continues to expand, we are committed to unlocking unprecedented benefits and innovative use cases across operational, navigational, and commercial sectors. Read more about the Generative AI revolution in this essay by Sequoia Capital - link in the comments.
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Meta is introducing the Open-Vocabulary Embodied Question Answering (OpenEQA) framework -a new benchmark to measure an AI agent's understanding of its environment by probing it with open-vocabulary questions.
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Embracing the benefits of LLM securely https://lnkd.in/gEYFZNvZ AI is evolving at a rapid pace, and the uptake of Generative AI (GenAI) is revolutionising the way humans interact and leverage this technology. GenAI is based on large language models (LLMs) that have proven remarkable capabilities for breaking down barriers between humans and machines – from generating human-like text to powering conversational interfaces and automating complex tasks. Even though we are at the early stages of LLM adoption, businesses are preparing the way to build LLM-powered applications. Initial findings from our customers reveal that one out of four customers are building LLM-powered applications and around 20% of them are […]
Embracing the benefits of LLM securely
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🎉 Exciting news for AI enthusiasts! Yesterday, we announced the release of Llama 3 - the next generation of our state-of-the-art open-source large language model. 🚀 It's the most capable openly available LLM yet! #AI #OpenSource #Llama3
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Current LLMs consume the same amount of resources for every token, regardless of complexity - "Duo-LLM" might just change that. In the ever-evolving world of AI - a transformative framework can challenge the traditional, fixed-compute paradigm of Large Language Models (LLMs). Current LLMs consume the same amount of resources for every token, regardless of complexity. This one-size-fits-all approach leads to wasteful computations. But what if this process can be optimized, dynamically? Read more on: https://lnkd.in/dH7mUs3p
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Embracing the benefits of LLM securely https://lnkd.in/gCR7qgKD AI is evolving at a rapid pace, and the uptake of Generative AI (GenAI) is revolutionising the way humans interact and leverage this technology. GenAI is based on large language models (LLMs) that have proven remarkable capabilities for breaking down barriers between humans and machines – from generating human-like text to powering conversational interfaces and automating complex tasks. Even though we are at the early stages of LLM adoption, businesses are preparing the way to build LLM-powered applications. Initial findings from our customers reveal that one out of four customers are building LLM-powered applications and around 20% of them are […]
Embracing the benefits of LLM securely
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Original text: https://lnkd.in/gu3Ewxrw] Reading the blogs of Andrew Ng I come to the point. Where is could say. “"Amidst the immense hype surrounding AI advancements, my recent experiences with GPT-4 have left me somewhat unsatisfied. The sky-high expectations set by society often overshadow the remarkable capabilities of existing Language Models (LMs). However, I remain optimistic about the future. With innovations like RAG 2.0 paving the way, I believe that within a year, LLMs will surpass current expectations and excel in meeting the evolving needs of today's dynamic landscape. The journey towards truly outstanding AI models is undoubtedly underway!"
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Fantastic new article put out by the Association for the Advancement of Artificial Intelligence (AAAI) giving some history on language models and their future. After 15 years in the field, I've never seen something take off as fast and as far as Generative LLMs, so I'd interested to see where we go from here.
Earlier this year, OpenAI released their GPTs framework, allowing users to set up Large Language Model (LLM)-based personas, orchestrate them into a workflow and even offering their AI apps within an app store. Like most breakthroughs, this one is rooted in many years of research, and the reason the world is paying attention to it now is that, thanks to Generative AI and Large Language Models, we finally have artificial agents that are useful enough to scale to more serious problems. Learn more in the article AI and agents. Article: https://bit.ly/463ZFTt Video: https://bit.ly/469ae84
The Evolution of Gen AI from Simple Agents to Advanced Knowledge Workers | Babak Hodjat | Cognizant
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My last video was about how “Exploring the Intersection of Digital Identity and Generative AI” As we all are exploring on what that would look like let’s talk about the costs associated with implementing large language models (LLMs) and explore the sustainability of the generative AI business model. Making AI cost efficient is going to key indicator on how it will be used to solve digital identity and other use cases. Feel free to add your own insights and experiences with LLMs in the comments below! #AI #LLMs #Technology #Innovation #CostAnalysis #AIImplementation #TechTalks #LinkedInVideo #ArtificialIntelligence #TechInvestment
Generative AI - Calculating the True Cost of LLM
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Next step in Basic Technology AI LLM Model exponential OOM progress. Interesting to see how/when growing Gap to Applied AI in business and society will start to be reversed by a tsunami of ubiquitous AI applications based on already existing technology.
BIG AI News : Open Source CRUSHES Everything, GPT-5 Paramters Leaked, AGI Could BeDecades Away?
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