Upload Google-Gemini-AI-Full-Video-The-Only-Competitor-Against-ChatGPT-GPT-4-Number-1-On-Benchmarks.md

Google-Gemini-AI-Full-Video-The-Only-Competitor-Against-ChatGPT-GPT-4-Number-1-On-Benchmarks.md

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+[**Google Gemini AI 🤯 Full Video - The Only Competitor Against ChatGPT / GPT-4 - #1 On Benchmarks**](https://youtu.be/D1s7ndtDXSk)
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+[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/2rPgExLwnpPziWQ4RPAjQ.png)](https://youtu.be/D1s7ndtDXSk)
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+This is a combination of all 16 #Gemini videos published by Google. The video includes full 100% accurate subtitles and properly written chapters with descriptions. 
+
+Google Just Launched Gemini, Its Long-Awaited Answer to #ChatGPT. Google says Gemini, launching today inside the #Bard chatbot, is its “most capable” #AI model ever. It was trained on video, images, and audio as well as text. Gemini is another multi-modal #LLM model.
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+Stable Diffusion GitHub repository ⤵️
+https://github.com/FurkanGozukara/Stable-Diffusion
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+SECourses Discord To Get Full Support ⤵️
+https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
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+Google Gemini ⤵️
+https://bard.google.com/chat
+
+* 0:00 Gemini: All you need to know in 90 seconds
+* 1:30 Gemini: Excelling at competitive programming
+* 6:30 Gemini: Unlocking insights in scientific literature
+* 9:12 Gemini: Explaining reasoning in math and physics
+* 11:11 Gemini: Processing and understanding raw audio
+* 14:55 Testing Gemini: Understanding environments
+* 16:07 Testing Gemini: Finding connections
+* 17:06 Hands-on with Gemini: Interacting with multimodal AI
+* 23:28 Testing Gemini: Guess the movie
+* 24:24 Testing Gemini: Turning images into code
+* 25:22 Testing Gemini: Emoji Kitchen
+* 26:32 Testing Gemini: Fit check
+* 27:16 Gemini: Safety and responsibility at the core
+* 28:56 Gemini: Reasoning about user intent to generate bespoke experiences
+* 32:28 Gemini: Google’s newest and most capable AI model
+* 37:03 Mark Rober takes Bard with Gemini Pro for a test flight
+
+CHAPTER 1:
+It’s built from the ground up to be multimodal — meaning that it’s trained to recognize, understand and combine different types of information, including text, images, audio, video and code. And it’s optimized in three different sizes: Ultra, Pro and Nano. 
+
+CHPTR 2:
+Research Scientist Rémi Leblond also introduces AlphaCode 2, an advanced code generation system that excels at solving competitive programming problems involving complex math and theoretical computer science.
+
+CHPTR 3: 
+Watch Google DeepMind Research Scientist Sebastian Nowozin and Software Engineer Taylor Applebaum use Gemini to read, understand and filter 200,000 scientific papers to extract crucial scientific information. All in a lunch break.
+
+CHPTR 4:
+Gemini was trained to recognize and understand text, images, audio, and more at the same time, so it better understands nuanced information and can answer questions relating to complicated topics. 
+
+This makes it especially good at explaining reasoning in complex subjects like math and physics.
+
+CHPTR 5:
+Watch Google DeepMind Research Scientist Adrià Recasens Continente demonstrate Gemini’s abilities to understand audio in different languages, from multiple speakers and to combine vision, audio and text to offer a  helping hand while cooking in the kitchen.   
+
+CHPTR 6:
+In this test, let’s see if Gemini can make sense of an environment by deciding where houseplants might receive the most sunlight. 
+
+CHPTR 7:
+In this test, we go beyond image recognition and into image reasoning to see if Gemini can find similarities between images. 
+
+CHPTR 8:
+This video highlights some of Google favorite interactions with Gemini. Learn more and try the model: https://deepmind.google/gemini 
+
+Explore Gemini prompting approaches here: https://goo.gle/how-its-made-gemini 
+
+CHPTR 9:
+In this test, let’s see if Gemini can guess the name of a movie based on the play on words hidden in a set of images. 
+
+CHPTR 10:
+In this test, let's explore Gemini's code generation capabilities by turning an image into an SVG and also an interactive HTML demo. 
+
+CHPTR 11:
+In this test, let’s see if Gemini can understand how some unusual emojis were created using Emoji Kitchen.
+
+CHPTR 12:
+Let’s see if Gemini can understand outfits and even name a new hypothetical fashion trend. 
+
+CHPTR 13:
+From its early stages of development through deployment into our products, Gemini has been developed with responsibility, safety and our AI Principles in mind. 
+
+Learn more from Google DeepMind and Google Research leaders about our commitments to building Gemini responsibly.
+
+CHPTR 14:
+Join Google Research Engineering Director Palash Nandy as he showcases Gemini’s advanced reasoning and coding abilities, all while exploring ideas for a birthday party. 
+
+The model understands his intent to plan, design and build visually rich interactive experiences that go beyond chat interfaces and best display different types of information. 
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+CHPTR 15:
+Unlike other AI models, Gemini was trained to recognize, understand, and combine different types of information including text, images, audio, video, and code. 
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+Its state-of-the-art performance gives it remarkable new capabilities. And it’s built with safety and responsibility at its core. 
+
+CHPTR 16:
+Witness a mind-blowing fusion of science and engineering as Mark Rober and Bard collaborate to craft a paper plane that'll soar to uncharted territories of aerodynamics. Yes, if you’re wondering, Bard wrote this description.