Imad Riachi

🧩 One thing we've noticed with #VentureIQ technology is how well it can distill and communicate complex technical material 🧩 Whether it's a #deeptech venture, a novel #AI application, or even a patent submission, we can quickly distill the business and strategic implications for investors...and sometimes even the founders/PIs themselves! 🤯 Based on our work so far, the tech can handle a wide array of research areas and technological sectors -- anything from blockchain algorithms to vaccine development. It handles the nuance of the field, the specific terminology, and extracts the key concepts which matter for venture-building. 🤓 To demonstrate, I took a patent I helped write with Eric Laber on reinforcement learning. I ran it through #Ventureiq to build a commercial assessment (key differentiators, target markets). Then for fun I had #NotebookLM make a podcast out of it. I've uploaded the result it here (DM me if you'd like the actual report): https://lnkd.in/eiTejsny This is more than just automation or streamlining operations - it's about unlocking clarity and insight when it was previously unattainable, and the ability to do it over and over again no matter the sector or vertical. Interested in more info? DM me so we can chat.

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Sam Altman takes nuclear energy company Oklo public to help further his AI ambitions https://buff.ly/4bztCN4 - 💼 Sam Altman is the CEO of OpenAI and chairman of nuclear power company Oklo - 📈 Oklo went public through AltC Acquisition Corp., trading on NYSE as "OKLO" - 💰 Oklo received over $306 million in gross proceeds from the transaction - 💡 Oklo's business model is based on commercializing nuclear fission for energy needs - 🔬 Oklo is working on building its first small-scale reactor in Idaho - 🌎 Altman sees nuclear energy as crucial for meeting AI energy demands - 🔥 Altman has invested in other nuclear energy and AI-related ventures - 🤔 Altman believes nuclear energy is the best way to meet AI energy needs without fossil fuels - 🚀 Oklo CEO targeting 2027 for first plant to come online - 📉 SPAC market has seen setbacks but AI-related companies are gaining interest on Wall Street

As data and AI have exploded, the ability to process and refine data rapidly and efficiently, as well as keeping a handle on governance and quality, has put immense pressure on enterprise data teams. Orchestra was founded in 2023 by the inimitable team of Hugo Lu and Will Davies to solve exactly that problem. It offers a unified control plane for data operations, enabling users to build data pipelines and data products, automate pipeline execution, and gather metadata in a governed way – without the need to maintain infrastructure. That’s why we at Moonfire are leading Orchestra's £1m pre-seed, alongside Sequoia Capital’s Scout Fund and angel investors from companies like dbt Labs, Snowflake, and Snowplow. You can find out more about Orchestra via Pulse, in the comments below. ⬇️

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See the below article, which highlights an interesting opportunity for start-ups and organizations looking to implement and build safer AI applications. UK’s Advanced Research and Invention Agency (ARIA) "is also offering funding to people or organizations in high-risk sectors such as transport, telecommunications, supply chains, and medical research to help them build applications that might benefit from AI safety mechanisms. ARIA is offering applicants a total of £5.4 million in the first year, and another £8.2 million in another year. The deadline for applications is October 2." I'm interested in assisting individuals or organizations that want to apply for this funding. If that's you, contact me or the Cyber Law Firm at www.cyberlf.com. #ai #gai #techinvestment #cyberlawfirm

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#Performance of #LLMs. The adoption of #LLMs is rapidly growing, but the difficulty arises when trying to apply them beyond experimental settings. Deploying LLMs in an actual environment is complex, and one of the significant challenges is effectively evaluating their performance. Evaluation of LLMs can be based on different factors like toxicity, helpfulness, correctness and more. This article by Surya Prakash Pathak from Red Hat explores various evaluation techniques and metrics employed in assessing the performance of LLMs, with a particular emphasis on retrieval-augmented generation (#RAG) use cases. RAG, a pivotal use case for different enterprises, focuses on combining retrieval methods with the generation capabilities of LLMs. This unique approach involves not only generating content based on learned patterns but also leveraging pre-existing information through retrieval mechanisms. Scott Creeley :: Stephen Flaherty https://lnkd.in/gJTBagjv

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🌟 Exciting News! 🌟 Today, I’m thrilled to be attending an exclusive event at the AWS Startups London GenAI Loft! This event is designed specifically for top AI and machine learning researchers and engineers from industry, academic labs, and startups who are ready to launch new GenAI startups. The day will feature two insightful panels: Life Sciences and AI: This panel will explore the groundbreaking potential at the intersection of AI and life sciences, driving advancements in drug discovery, genomics, and personalized medicine. Scaling with AWS AI Infrastructure: Hear from industry leaders about compute deals and the resources available to ensure GenAI customers have the capacity they need in today’s competitive market. I'm looking forward to connecting with like-minded peers, learning from industry experts, and discovering how our work can lead to innovations with significant commercial upside and a profound impact on a global scale. Special thanks to featured speakers like Tobias Halloran, Alex Merwin, and Pei-Hao (Eddy) Su for sharing their insights! Let’s see how we can transition successfully from research to startup and make a difference in the world! 🚀 #AWS #GenAI #Startups #AI #MachineLearning #LifeSciences #Innovation #Networking #Entrepreneurship https://lnkd.in/eZju-pgK

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