It is in Turkish but a detailed summary here: “Exploring Free Software and Artificial Intelligence with Orkut Murat Yılmaz Detailed Summary for Kendi bilgisayarımda çalışan yapay zekâ by Merlin
Video Title: Exploring Free Software and Artificial Intelligence with Orkut Murat Yılmaz
00:04 Orkut Murat Yılmaz is a free software developer and will present about the new type of artificial intelligence
– He has been working in the field of information technology since 2003, with experience in various technical roles from system administrator to software developer.
– He is introducing a new form of artificial intelligence that has been developed over the past 5 years.
02:35 Geographical information technologies and the impact of artificial intelligence
– I pursued education in Surveying Engineering and focused on location-based technologies.
– I have been observing the rapid progress of artificial intelligence in various fields.
07:54 Artificial Intelligence research and its impact on translation processes
– The importance of funding and collaboration in producing successful projects
– The influence of a playful hacker philosophy on AI development and the emergence of the Large Language Model (Elem)
10:12 Github projects started to grow rapidly with widespread collaboration.
– Universities and institutions invested in AI models like Mistral and Karayel.
– Mistral AI models are available for free download under the Apache license.
14:42 New developments in artificial intelligence and its applications
– Emergence of new institutions and features driven by artificial intelligence
– Introduction to Hugging Face and its role in hosting AI models
16:52 Microsoft managed to fit a lot of features into 6 GB for personal computers.
– Microsoft also released a lens while publishing f2u, one of the most free licenses.
– The model works for various tasks and can produce text, code, and data for different purposes.
21:35 Artificial intelligence for text generation and model deployment
– The AI can generate text and automatically fill in necessary fields
– It can run different models with various datasets and host them
23:30 Text to image AI models and their applications
– Discussing the A1 GPU developed by Tesla/Nvidia for AI model hosting
– Exploring the use of AI models like Stable Diffusion Extra Large in text-to-image generation
27:33 The video discusses using artificial intelligence on personal computers.
– The video mentions the capability to produce results in 5.5 seconds.
– It also talks about the ease of downloading and running the model on different operating systems.
29:45 Text generation with multi-modal AI models
– AI models like GPT Vision and Lava can generate text based on visual inputs
– Lava is a multi-modal model fine-tuned with different datasets for diverse tasks
34:02 The video discusses the use of artificial intelligence on a personal computer.
– The process of entering, downloading, and installing the AI by using terminal commands is explained.
– The video also covers the usage of coding and the introduction of a new tool called Mediton, created by Yale University.
36:16 Demonstration of a powerful neural chat model named Mistral
– The Google team created a neural chat model called Mistral, which is 1015 times more powerful than others, with a size of 3.8 GB.
– Mistral is used for various tasks such as writing content, creating reports, and has a user-friendly interface for easy installation.
– There are also larger models available, but they may contain explicit content, so caution is advised.
40:33 Advancements in artificial intelligence and investment in technology
– Google’s development of Google Pixel and the use of Elm for running models
– Investment of 400-450 million dollars in Hugging Face by Google and IBM
42:18 Intel’s natural language chat scenarios and tuning process explained
– Intel’s usage of OpenAI and GPT-3 for natural language chat scenarios
– Explanation of how temperature affects creativity in broad language models
46:51 Multi-agent framework can be used for task distribution in various scenarios.
– Tasks can be assigned to different individuals in a software development scenario, such as analysts, testers, and managers.
– Similar distribution of tasks can be done in a team setting, such as in an advertising agency.
48:58 Tools for running Artificial Intelligence on personal computers are advancing
– Free tools like olama and lama file are making it easier for individuals to access artificial intelligence capabilities.
– These tools are evolving and expanding, with community integrations and web UI capabilities available.
53:10 The trend of employing artificial intelligence on personal devices is increasing.
– There are specific tools available for iOS, macOS, and Android users.
– These tools allow for running various elements and even chatting in airplane mode.
55:39 Microsoft’s CPTN tool is recommended over the free one
– Evaluate the new possibilities opened up
– Discuss the issue of censorship in the models run on own computers
1:00:01 Advancements in stable diffusion and AI models
– Stable diffusion has released a video model as well as video production models
– Tools like Meta’s model called AudioCraft and ‘Mr.’ are being used for various functions
1:01:55 Comparison of i3 and mid Journey for solving text issue in AI
– i3 has made significant progress in solving the text issue, while mid Journey has not attempted it yet.
– The problem with copyright and the use of copyrighted photos in machine training is a long and complex issue.
1:05:46 Artificial Intelligence models rely on increasing data sets
– Free software and data sets are crucial for developing AI
– Local data deficiency can impact the effectiveness of AI models
1:08:04 Expanding the data sets for AI by including sources like Wikipedia and Creative Commons.
– Exploring how to provide more support from Turkey for these data sources.
– Increasing the use of local information in AI models.
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