12 of the best books on computer vision
23 May

12 of the best books on computer vision

stp2y0 CommentsAI
Computer vision is expanding quickly and has the potential to completely change how we interact with technology, being at the forefront of many cutting-edge advancements, from self-driving automobiles to augmented reality. Reading a computer vision book can be an excellent approach to learning and acquiring insight into this field and its applications. From the principles of computer vision to more advanced technologies, these books will provide you with a thorough overview of the area and its applications – whether you’re a student, researcher, or professional.In this article, you’ll find 12 of the best books on computer vision:Computer Vision: Algorithms and…
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Geospatial intelligence gets smart
23 May

Geospatial intelligence gets smart

stp2y0 CommentsChat-GPT
The National Geospatial-Intelligence Agency is injecting machine learning and computer vision across its operations, from the battlefield to the highest levels of geopolitical analysis. The agency is harnessing rapidly evolving artificial intelligence technologies to help military leaders see what’s happening on the battlefield in more detail and give policymakers a better understanding of global threats and dynamics. “We’re very excited about the trajectory of AI applications,” NGA’s director, Vice Adm. Frank Whitworth, said in an interview with SpaceNews. Whitworth said a convergence of rapidly advancing AI capabilities and revised business processes is reshaping how the agency provides intelligence to inform…
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How to Optimize Hyperparameter Search Using Bayesian Optimization and Optuna
23 May

How to Optimize Hyperparameter Search Using Bayesian Optimization and Optuna

stp2y0 CommentsGenAI
Hyperparameter optimization is an integral part of machine learning. It aims to find the best set of hyperparameter values to achieve the best model performance. Grid search and random search are popular hyperparameter tuning methods. They roam around the entire search space to get the best set of hyperparameters, which makes them time-consuming and inefficient for larger datasets. Based on Bayesian logic, Bayesian optimization considers the model performance for previous hyperparameter combinations while determining the next set of hyperparameters to evaluate. Optuna is a popular tool for Bayesian hyperparameter optimization. It provides easy-to-use algorithms, automatic algorithm selection, integrations with a…
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Introducing the Frontier Safety Framework
23 May

Introducing the Frontier Safety Framework

stp2y0 CommentsNews
Our approach to analyzing and mitigating future risks posed by advanced AI modelsGoogle DeepMind has consistently pushed the boundaries of AI, developing models that have transformed our understanding of what's possible. We believe that AI technology on the horizon will provide society with invaluable tools to help tackle critical global challenges, such as climate change, drug discovery, and economic productivity. At the same time, we recognize that as we continue to advance the frontier of AI capabilities, these breakthroughs may eventually come with new risks beyond those posed by present-day models.Today, we are introducing our Frontier Safety Framework - a…
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Research Papers in February 2024: A LoRA Successor, Small Finetuned LLMs Vs Generalist LLMs, and Transparent LLM research
23 May

Research Papers in February 2024: A LoRA Successor, Small Finetuned LLMs Vs Generalist LLMs, and Transparent LLM research

stp2y0 CommentsAI
Once again, this has been an exciting month in AI research. This month, I'm covering two new openly available LLMs, insights into small finetuned LLMs, and a new parameter-efficient LLM finetuning technique.The two LLMs mentioned above stand out for several reasons. One LLM (OLMo) is completely open source, meaning that everything from the training code to the dataset to the log files is openly shared.The other LLM (Gemma) also comes with openly available weights but achieves state-of-the-art performance on several benchmarks and outperforms popular LLMs of similar size, such as Llama 2 7B and Mistral 7B, by a large margin.However,…
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23 May

Seoul summit showcases UK’s progress on trying to make advanced AI safe

stp2y0 CommentsChat-GPT
The UK is leading an international effort to test the most advanced AI models for safety risks before they hit the public, as regulators race to create a workable safety regime before the Paris summit in six months.Britain’s AI Safety Institute, the first of its kind, is now matched by counterparts from around the world, including South Korea, the US, Singapore, Japan and France.Regulators at the Seoul AI Summit hope the bodies can collaborate to create the 21st-century version of the Montreal Protocol, the groundbreaking agreement to control CFCs and close the hole in the ozone layer.But before they do,…
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23 May

On NeurIPS’ High School Paper Track • David Stutz

stp2y0 CommentsGenAI
The decision to have a separate High School Project Track at NeurIPS 2024 has sparked quite some controversy, with many prominent AI researchers debating pros and cons and personal opinions, primarily on X/Twitter. Initially, I ignored this discussion, but eventually started thinking about it myself. Here are some of my thoughts. A short disclaimer is necessary before diving in: the below is a rather personal opinion on the subject — driven by my personal experiences in AI research. As such, it is not meant to blame, contradict or discredit anyone or anything. Instead it is an attempt to add color.…
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The Goldilocks Scenario Every VC Is Hoping For 
23 May

The Goldilocks Scenario Every VC Is Hoping For 

stp2y0 CommentsRAG models
Over the past few years, we’ve witnessed the meteoric top of the venture and startup markets where valuations were through the roof, investors were competing with each other on speed (instead of due diligence), founders were exclusively focused on raising the next round, and startups had an almost unlimited source of capital to pursue growth at all costs. Those days ended with a series of significant blows to the ecosystem including the Silicon Valley Bank collapse, global wars and rising interest rates. Now the industry has settled into a new, healthy normal where valuations have returned to reasonable levels, only…
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Optimizing Databricks LLM Pipelines with DSPy
23 May

Optimizing Databricks LLM Pipelines with DSPy

stp2y0 CommentsViral News, , ,
If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools in production. Startups are building everything from Retrieval-Augmented Generation (RAG) automation to custom fine-tuning services. Langchain is perhaps the most famous of all these new frameworks, enabling easy prototypes for chained language model components since Spring 2023. However, a recent, significant development has come not from a startup, but from the world of academia. In October 2023, researchers working in Databricks co-founder Matei Zaharia’s Stanford research lab released DSPy, a library for compiling declarative language model calls into…
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