AMAZING ChatGPT Vision is OUT! ๐Ÿคฏ 14+ Examples (Step-by-Step) FULL Tutorial

Mervin Praison ยท Beginner ยท๐Ÿ“ฐ AI News & Updates ยท2y ago
"Ever wondered how ChatGPT, the breakthrough AI from OpenAI, has evolved to understand images? ๐Ÿค– Dive deep into the exciting new VISION features of ChatGPT and discover how it's revolutionising the way we interact with technology! From daily life tasks to special collaborations with apps like Be My Eyes ๐Ÿ“ฑ๐Ÿ‘๏ธ, learn how ChatGPT's vision is making waves in the tech world. Explore its strengths, understand its limitations, and get a glimpse of what's next! "Unlock ChatGPT's INSANE Vision Features: Image-to-Code & More! ๐Ÿ˜ฒ" "Mind-Blowing ChatGPT Capabilities: From Food Recipes to Code Generation! ๐Ÿ”ฅ" "AMAZING Guide to ChatGPT's Vision: Image Analysis, Meal Plans & More!" "Unbelievable ChatGPT Vision Skills: Decoding Images Like NEVER BEFORE! ๐Ÿ’ฅ" "ChatGPT's Vision Explained: Image-to-Code, Plant ID, and Recipes! ๐ŸŒŸ" Video Description ๐Ÿ‘‹ Hey everyone! Ready to have your MIND BLOWN? ๐Ÿคฏ In today's video, we're diving deep into ChatGPT's vision capabilities. Prepare for a roller coaster of INSANE features! ๐Ÿ“Œ Timestamps: 0:00 - Introduction 0:04 - Vision capabilities of ChatGPT 0:11 - Use-cases 0:25 - Processing screenshots 0:36 - Demonstrations begin 0:43 - React code from Figma design 1:06 - Code generation 1:24 - Text extraction from image 1:36 - Plant identification 1:52 - Description of a natural setting 2:18 - Recipe generation from food image 2:55 - Cooking procedure 3:15 - Analyzing graph images 3:50 - Data insights 4:11 - DevOps pipeline explanation 4:54 - Medical imaging insights 5:34 - Cell structure in points 6:13 - Fractured hand 6:30 - Traffic and parking signs 7:05 - Electronics circuit explanation 7:50 - Meme explanation 8:12 - Crossword puzzle solving 8:48 - Interior design suggestions 9:56 - Language Recognition 10:40 - Conclusion ๐Ÿ“š What You'll Learn: How to generate React code from Figma designs ๐Ÿ–ฅ How to identify plants just by uploading images ๐ŸŒฟ Create meal plans based on fridge contents ๐Ÿ• Decode complex data sets in visual form ๐Ÿ“Š ๐Ÿ”ฅ #ChatGP
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Uploads from Mervin Praison ยท Mervin Praison ยท 14 of 60

1 Build GCP Infra using Pulumi in YAML format
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โ–ถ AMAZING ChatGPT Vision is OUT! ๐Ÿคฏ 14+ Examples (Step-by-Step) FULL Tutorial
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17 How to Set Up LoLLMS and Run LLMs Locally! ๐Ÿš€ Step-by-Step Tutorial
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21 Text Generation Web UI: MIND-BLOWING Way to Run LLM Locally! ๐Ÿคฏ
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24 ChatDev: INSANE Virtual AI Agents! Future of Software Development ๐Ÿ˜ฒ
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45 ๐Ÿš€ AutoLLM: Unlock the Power of 100+ Language Models! Step-by-Step Tutorial
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49 AutoGen & MemGPT with Local LLM: A Complete Setup Tutorial! ๐Ÿง  AMAZING ๐Ÿคฏ
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51 Yarn Mistral 7B 128k LARGE context window, Small size ๐Ÿคฏ INSANE ๐Ÿš€ Setup Tutorial!
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52 Zephyr-7B: The Small and Mighty LLM ๐Ÿคฏ Step by Step Tutorial! ๐Ÿ“˜
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53 Promptfoo: How to Test Your LLM ? ๐Ÿš€  VERY EASY!
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54 Pydantic: How to Validate LLM Responses? ๐Ÿš€ Quality Response. VERY EASY!!!!
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56 Pydantic: How to use LLM to convert unstructured data to structured data?
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57 AutoGen Function Calling: INSANE ๐Ÿš€ Custom Integrations! Step-by-Step Tutorial ๐Ÿคฏ
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58 OpenAI Assistants API + Python ๐Ÿค– How to get started? (FULL Tutorial) ๐Ÿคฏ INSANE
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59 GPT-4 Vision API ๐Ÿคฏ INSANE Video Recognition Powers! Step-by-Step Tutorial ๐Ÿš€
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60 GPT-4 Vision API ๐Ÿš€ The Future of Image Recognition! ๐Ÿคฏ Step-by-Step Tutorial
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Chapters (25)

Introduction
0:04 Vision capabilities of ChatGPT
0:11 Use-cases
0:25 Processing screenshots
0:36 Demonstrations begin
0:43 React code from Figma design
1:06 Code generation
1:24 Text extraction from image
1:36 Plant identification
1:52 Description of a natural setting
2:18 Recipe generation from food image
2:55 Cooking procedure
3:15 Analyzing graph images
3:50 Data insights
4:11 DevOps pipeline explanation
4:54 Medical imaging insights
5:34 Cell structure in points
6:13 Fractured hand
6:30 Traffic and parking signs
7:05 Electronics circuit explanation
7:50 Meme explanation
8:12 Crossword puzzle solving
8:48 Interior design suggestions
9:56 Language Recognition
10:40 Conclusion
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