YZ insan istihbarat süreçlerinin makineler, özellikle de bilgisayar sistemleri ile simülasyonudur. Bu süreçler arasında öğrenme (bilgi edinme için bilgi ve kuralların edinilmesi), mantıksallaştırma (yaklaşık veya nihYZ sonuçlara ulaşmak için kuralları kullanarak) ve kendini düzeltme yer alır. YZ'nın özel uygulamaları, uzman sistem konuşma tanıma ve suni görme içerir.
YZ insan istihbarat süreçlerinin makineler, özellikle de bilgisayar sistemleri ile simülasyonudur. Bu süreçler arasında öğrenme (bilgi edinme için bilgi ve kuralların edinilmesi), mantıksallaştırma (yaklaşık veya nihYZ sonuçlara ulaşmak için kuralları kullanarak) ve kendini düzeltme yer alır. YZ'nın özel uygulamaları, uzman sistem konuşma tanıma ve suni görme içerir.
A non-technical overview of Large Language Models, exploring their potential, limitations, and customization for specific challenges. While this deck is tailored for an audience from the financial industry in mind, its content remains broadly applicable.
(Note: Discover a slightly updated version of this deck at slideshare.net/LoicMerckel/introduction-to-llms.)
Large Language Models, No-Code, and Responsible AI - Trends in Applied NLP in...David Talby
An April 2023 presentation to the AMIA working group on natural language processing. The talk focuses on three current trends in NLP and how they apply in healthcare: Large language models, No-code, and Responsible AI.
machines will be capable, within 20 years, of doing any work a man can do." Two years later, MIT researcher Marvin Minsky predicted, "Within a generation ... the problem of creating 'artificial intelligence' will substantially be solved."
(artificial intelligence innovator Herbert Simon.1965
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
Gary Paek from Intel presented this deck at the HPC User Forum in Tucson.
Learn more: https://software.intel.com/en-us/tags/18892
and
http://hpcuserforum.com
Watch the video presentation: http://wp.me/p3RLHQ-fdt
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
Shift AI 2020: Building AI-first Products - Ehsan Yousefzadeh (AIG Investments)Shift Conference
Shift AI was a success, connecting hundreds of professionals that were eager to propel the progress of AI and discuss the newest technologies in data mining, machine learning and neural networks. More at https://ai.shiftconf.co/.
Talk description:
With rapid advancements in AI research, new breakthroughs lead to new product opportunities. In this presentation, I will discuss the AI product development process, along with the challenges and rewards that come with it. I’ll also discuss the various degrees of AI products, the teams needed to build them, and what it takes to be a great AI-first product manager.
Get best thesis topics in machine learning from Experienced Ph.D. Writers at Techsparks with 100% Plagiarism Free Work & Affordable price. Our goal is to make students free from their assignments burden, by providing the best thesis assistance. For more details call us at-9465330425 or Visit at: https://bit.ly/3zRB3vN
OpenAI’s GPT 3 Language Model - guest Steve OmohundroNumenta
In this research meeting, guest Stephen Omohundro gave a fascinating talk on GPT-3, the new massive OpenAI Natural Language Processing model. He reviewed the network architecture, training process, and results in the context of past work. There was extensive discussion on the implications for NLP and for Machine Intelligence / AGI.
Link to GPT-3 paper: https://arxiv.org/abs/2005.14165
Link to YouTube recording of Steve's talk: https://youtu.be/0ZVOmBp29E0
Using AI chatbots for deep learning and teaching with specific examples to en...Nigel Daly
This talk was given to Senior high School teachers in Taiwan to help them better understand (1) what AI chatbot technology like ChatGPT and Bing Chat is, and (2) how to use it to enhance their own teaching and also their students' learning. Also discussed was how to make prompts and several examples. The examples specifically focused on language learning since the school will soon become a bilingual school. AI technology use was also described in terms of Bloom's taxonomy of learning objectives and connected to ideas of deep learning as advocated by the movement "New Pedagogies for Deep Learning", which the school has become a part of.
A non-technical overview of Large Language Models, exploring their potential, limitations, and customization for specific challenges. While this deck is tailored for an audience from the financial industry in mind, its content remains broadly applicable.
(Note: Discover a slightly updated version of this deck at slideshare.net/LoicMerckel/introduction-to-llms.)
Large Language Models, No-Code, and Responsible AI - Trends in Applied NLP in...David Talby
An April 2023 presentation to the AMIA working group on natural language processing. The talk focuses on three current trends in NLP and how they apply in healthcare: Large language models, No-code, and Responsible AI.
machines will be capable, within 20 years, of doing any work a man can do." Two years later, MIT researcher Marvin Minsky predicted, "Within a generation ... the problem of creating 'artificial intelligence' will substantially be solved."
(artificial intelligence innovator Herbert Simon.1965
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
Gary Paek from Intel presented this deck at the HPC User Forum in Tucson.
Learn more: https://software.intel.com/en-us/tags/18892
and
http://hpcuserforum.com
Watch the video presentation: http://wp.me/p3RLHQ-fdt
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
Shift AI 2020: Building AI-first Products - Ehsan Yousefzadeh (AIG Investments)Shift Conference
Shift AI was a success, connecting hundreds of professionals that were eager to propel the progress of AI and discuss the newest technologies in data mining, machine learning and neural networks. More at https://ai.shiftconf.co/.
Talk description:
With rapid advancements in AI research, new breakthroughs lead to new product opportunities. In this presentation, I will discuss the AI product development process, along with the challenges and rewards that come with it. I’ll also discuss the various degrees of AI products, the teams needed to build them, and what it takes to be a great AI-first product manager.
Get best thesis topics in machine learning from Experienced Ph.D. Writers at Techsparks with 100% Plagiarism Free Work & Affordable price. Our goal is to make students free from their assignments burden, by providing the best thesis assistance. For more details call us at-9465330425 or Visit at: https://bit.ly/3zRB3vN
OpenAI’s GPT 3 Language Model - guest Steve OmohundroNumenta
In this research meeting, guest Stephen Omohundro gave a fascinating talk on GPT-3, the new massive OpenAI Natural Language Processing model. He reviewed the network architecture, training process, and results in the context of past work. There was extensive discussion on the implications for NLP and for Machine Intelligence / AGI.
Link to GPT-3 paper: https://arxiv.org/abs/2005.14165
Link to YouTube recording of Steve's talk: https://youtu.be/0ZVOmBp29E0
Using AI chatbots for deep learning and teaching with specific examples to en...Nigel Daly
This talk was given to Senior high School teachers in Taiwan to help them better understand (1) what AI chatbot technology like ChatGPT and Bing Chat is, and (2) how to use it to enhance their own teaching and also their students' learning. Also discussed was how to make prompts and several examples. The examples specifically focused on language learning since the school will soon become a bilingual school. AI technology use was also described in terms of Bloom's taxonomy of learning objectives and connected to ideas of deep learning as advocated by the movement "New Pedagogies for Deep Learning", which the school has become a part of.
116. 物理攻击
[Sharif et al. (2016). Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition.]
[Eykholt et al. (2018), Phvsical Adversarial Examples for Object Detectors.]
[Brown et al. (2018). Adversarial Patch.]