Channel: Tropical engineer ๐จโ๐ป๐ด
OpenAI will dramatically change this world soon. Get ready ๐ซต
DuckDuckGo launches DuckAssist: a new feature that generates natural language answers to search queries using Wikipedia
https://www.spreadprivacy.com/duckassist-launch/
https://www.spreadprivacy.com/duckassist-launch/
๐ฎ 4-5 yrs future professions: Knowledge Engineer, Machine Learning Data Engineer!
๐งฉ Challenge: Train AI with massive biz knowledge, keep what matters, dump extra stuff, use shorter words but keep the meaning!
๐ฏ Mission: Condense the knowledge & adapt it to Large Language Model boundaries. #ContextCompression
๐ฅ Sneak peek for future generations: the massive shift ahead!
๐ This is my approach to develop our new website for MikroTik training center in Vietnam! (ใ)
#vietnam #mikrotikvietnam #networkacademy #prediction #contextcompression #AIchallenge #knowledgeengineer #machinelearnaataengineer
Posting from:
๐ป๐ณ Vietnam, Mui Ne, Impresso co-working space
๐จโ๏ธ 33ยฐ C
๐งฉ Challenge: Train AI with massive biz knowledge, keep what matters, dump extra stuff, use shorter words but keep the meaning!
๐ฏ Mission: Condense the knowledge & adapt it to Large Language Model boundaries. #ContextCompression
๐ฅ Sneak peek for future generations: the massive shift ahead!
๐ This is my approach to develop our new website for MikroTik training center in Vietnam! (ใ)
#vietnam #mikrotikvietnam #networkacademy #prediction #contextcompression #AIchallenge #knowledgeengineer #machinelearnaataengineer
Posting from:
๐ป๐ณ Vietnam, Mui Ne, Impresso co-working space
๐จโ๏ธ 33ยฐ C
Enjoying a tropical lifestyle doesn't mean I can't keep up with the latest trends in technology! Currently studying machine learning fundamentals using Google Crash Course while soaking up the sun and enjoying the pool view. It's never too late to learn new skills and stay ahead of the game. #Indonesia #Bali #DigitalNomad #TropicalEngineer #ML #GoogleCrashCourse ๐๐โโ๏ธ๐๏ธ
Posting from:
๐ฎ๐ฉ Indonesia, Bali, Seminyak
โ๏ธ 30ยฐ C
Posting from:
๐ฎ๐ฉ Indonesia, Bali, Seminyak
โ๏ธ 30ยฐ C
This media is not supported in your browser
VIEW IN TELEGRAM
In today's digital age, the capabilities and intricacies of AI have captured the imagination of many. While several might have chatted with ChatGPT-4, few have dived deep into understanding its contextual behaviors. Today, Iโm peeling back the curtain, sharing some insights Iโve garnered from my hands-on experience with this cutting-edge model.
1. The Importance of Context
Every conversation with ChatGPT-4 relies on context. Imagine it as the model's short-term memory. It can keep track of approximately 32,000 tokens (words, spaces, and punctuation). This context window ensures the AI provides relevant responses. However, the emphasis is often on the most recent inputs. Why? Because the latest inputs often contain the most relevant details for a meaningful response.
2. Prioritization of Recent Inputs
Have you ever felt like ChatGPT pays more attention to your recent messages over the older ones? You're spot on! The model, while having access to the entire dialogue within the context window, gives a slight preference to newer information. This is a reflection of real-world conversational dynamics, where we often respond more to what was said last.
3. The Art of Prompt Engineering
A unique skill set I've honed is 'prompt engineering'. It's the craft of carefully designing questions or prompts to extract specific and desired outputs from AI. In many ways, it's akin to learning a new languageโthe language of AI communication. By mastering this, you can guide ChatGPT-4 to provide even more accurate and nuanced responses.
Final Thoughts
As AI becomes an increasingly integral part of our daily lives, understanding its mechanisms is crucial. My journey with ChatGPT-4 and prompt engineering has been both challenging and rewarding. And while I've shared just the tip of the iceberg today, I hope it sparks your interest in the vast ocean of AI potential.
#chatgpt #ContextCompression #promptengineering
Posting from:
๐ป๐ณ Vietnam, Mui Ne, Impresso co-working space
โ๏ธ๐ง๏ธ 29ยฐ C
1. The Importance of Context
Every conversation with ChatGPT-4 relies on context. Imagine it as the model's short-term memory. It can keep track of approximately 32,000 tokens (words, spaces, and punctuation). This context window ensures the AI provides relevant responses. However, the emphasis is often on the most recent inputs. Why? Because the latest inputs often contain the most relevant details for a meaningful response.
2. Prioritization of Recent Inputs
Have you ever felt like ChatGPT pays more attention to your recent messages over the older ones? You're spot on! The model, while having access to the entire dialogue within the context window, gives a slight preference to newer information. This is a reflection of real-world conversational dynamics, where we often respond more to what was said last.
3. The Art of Prompt Engineering
A unique skill set I've honed is 'prompt engineering'. It's the craft of carefully designing questions or prompts to extract specific and desired outputs from AI. In many ways, it's akin to learning a new languageโthe language of AI communication. By mastering this, you can guide ChatGPT-4 to provide even more accurate and nuanced responses.
Final Thoughts
As AI becomes an increasingly integral part of our daily lives, understanding its mechanisms is crucial. My journey with ChatGPT-4 and prompt engineering has been both challenging and rewarding. And while I've shared just the tip of the iceberg today, I hope it sparks your interest in the vast ocean of AI potential.
#chatgpt #ContextCompression #promptengineering
Posting from:
๐ป๐ณ Vietnam, Mui Ne, Impresso co-working space
โ๏ธ๐ง๏ธ 29ยฐ C
Today, we live in a digital world, and the magic of Artificial Intelligence (AI) is something that catches eyes of many. We know ChatGPT-4, but it's just a baby step. What if AI could hold a much bigger context, say near 1 million tokens in the next five years? Letโs dream a little.
1. Context Growth:
Itโs not just about more tokens. It's about making AI understand complex stories, making learning more tailored, fun, and reachable for everyone.
2. Changing the School Map:
Today, where you live decides where you learn. But what if AI could change this old tale? I dream of a day when physical schools give way to digital classrooms, driven by smart AI, understanding each young mind's unique way of learning.
3. AI: The New Teacher:
Imagine an AI that could offer a personal touch to each kid's learning journey. No matter where they are, they could reach for the stars with a world-class education tailored just for them.
4. My Steps Towards the Future:
As a father and the founder of a networking academy, I am taking steps today for this beautiful tomorrow. By bringing AI tools into our teaching, we are not just talking networks; we are opening doors for young minds to a world where learning knows no limits.
5. Humans and AI: Learning Together:
The bond between human teachers and AI could create a space where curiosity flies free, and knowledge is shared in a way that touches every learner, going beyond the old classroom walls.
Final Thoughts:
As I dive deeper into the world of AI and education, the dream of a big change keeps me going. It wonโt be easy, but the idea of building a world where learning is for everyone, with AIโs helping hand, is a beautiful story waiting to be told.
The seeds we plant today will help grow the education of tomorrow.
#AIEducation #DreamingFuture #ContextualGrowth #LearningWithoutLimits
Posting from:
๐ป๐ณ Vietnam, Mui Ne, Impresso co-working space
๐โ๏ธ 31ยฐ C
1. Context Growth:
Itโs not just about more tokens. It's about making AI understand complex stories, making learning more tailored, fun, and reachable for everyone.
2. Changing the School Map:
Today, where you live decides where you learn. But what if AI could change this old tale? I dream of a day when physical schools give way to digital classrooms, driven by smart AI, understanding each young mind's unique way of learning.
3. AI: The New Teacher:
Imagine an AI that could offer a personal touch to each kid's learning journey. No matter where they are, they could reach for the stars with a world-class education tailored just for them.
4. My Steps Towards the Future:
As a father and the founder of a networking academy, I am taking steps today for this beautiful tomorrow. By bringing AI tools into our teaching, we are not just talking networks; we are opening doors for young minds to a world where learning knows no limits.
5. Humans and AI: Learning Together:
The bond between human teachers and AI could create a space where curiosity flies free, and knowledge is shared in a way that touches every learner, going beyond the old classroom walls.
Final Thoughts:
As I dive deeper into the world of AI and education, the dream of a big change keeps me going. It wonโt be easy, but the idea of building a world where learning is for everyone, with AIโs helping hand, is a beautiful story waiting to be told.
The seeds we plant today will help grow the education of tomorrow.
#AIEducation #DreamingFuture #ContextualGrowth #LearningWithoutLimits
Posting from:
๐ป๐ณ Vietnam, Mui Ne, Impresso co-working space
๐โ๏ธ 31ยฐ C
Today, let's dive into another layer of ChatGPT. I'm sharing insights from a question that intrigued me during my recent experiments: How does ChatGPT-4 handle branching contexts?
The Core Question
While experimenting with ChatGPT-4, I found myself puzzled about its handling of edited or branching queries. Does the model recognize all versions, creating a sort of 'contextual tree'? This question is more than academic curiosity for me; as someone who runs a MikroTik training center, understanding complex technical behaviors is part of my daily life.
Roots of the Query
ChatGPT-4 has a certain limit of tokens (words, spaces, etc.) that it can process, often giving preference to the most recent inputs. This led me to question if this model recognizes branching paths or if it merely operates on the most recent iteration of the conversation.
The Unveiled Truth
My inquiries yielded fascinating insights. Each branch of the conversation knows only about its direct lineage, with no awareness of parallel conversations. This is unlike a tree that knows about all its branches; here, each branch is like its own entity.
Implications for User Interaction
Though your interface might allow you to flip back through conversation history, it's not affecting the model's understanding. Every branch operates as an independent context, aiming for the most accurate and specific response based on the most recent inputs.
Final Thoughts
Just like any technology, the more you delve into ChatGPT-4, the more intriguing complexities you find. This particular insight has allowed me to better understand how to manipulate queries for more accurate responses. While today we've merely scratched the surface, I'm eager to continue this exploration into the depths of AI's capabilities.
#ChatGPT #ContextualAwareness #BranchingContext
Posting from:
๐ป๐ณ Vietnam, Mui Ne
๐ฆ๏ธ 29ยฐ C
The Core Question
While experimenting with ChatGPT-4, I found myself puzzled about its handling of edited or branching queries. Does the model recognize all versions, creating a sort of 'contextual tree'? This question is more than academic curiosity for me; as someone who runs a MikroTik training center, understanding complex technical behaviors is part of my daily life.
Roots of the Query
ChatGPT-4 has a certain limit of tokens (words, spaces, etc.) that it can process, often giving preference to the most recent inputs. This led me to question if this model recognizes branching paths or if it merely operates on the most recent iteration of the conversation.
The Unveiled Truth
My inquiries yielded fascinating insights. Each branch of the conversation knows only about its direct lineage, with no awareness of parallel conversations. This is unlike a tree that knows about all its branches; here, each branch is like its own entity.
Implications for User Interaction
Though your interface might allow you to flip back through conversation history, it's not affecting the model's understanding. Every branch operates as an independent context, aiming for the most accurate and specific response based on the most recent inputs.
Final Thoughts
Just like any technology, the more you delve into ChatGPT-4, the more intriguing complexities you find. This particular insight has allowed me to better understand how to manipulate queries for more accurate responses. While today we've merely scratched the surface, I'm eager to continue this exploration into the depths of AI's capabilities.
#ChatGPT #ContextualAwareness #BranchingContext
Posting from:
๐ป๐ณ Vietnam, Mui Ne
๐ฆ๏ธ 29ยฐ C
Dalle 3 rocks. This kind of detailed prompt was generated by ChatGPT4 to achieve the necessary vibe. Whenever I ask ChatGPT4 to help me with building prompts for AI, I always ask to generate detailed and comprehensive prompt to provide better context for AI.
Prompts for Dalle 3:
โThis image offers a striking aerial view reminiscent of South Vietnam's famed kite beaches. The crystal-clear, aqua-blue waters of the ocean stretch far into the horizon, blending turquoise hues with deeper shades of blue. The pristine white sandy shore is adorned with rows of swaying palm trees, casting gentle shadows under the sun. Throughout the waters, vibrant kite-surfers are seen, their colorful kites dancing in the sky and adding a dynamic contrast against the backdrop of the serene sea. In the foreground, a wooden desk under a thatched roof provides a modern touch to the traditional landscape. Atop the desk, a laptop displays a digital interface, and it's flanked by an organized set of books, a green plant, and a mousepad. The scene perfectly captures the essence of South Vietnam's beaches, where the tranquility of nature meets contemporary life.โ
โฆ Just my initial experiments with personal static website fully made by AI: structure, content, headers, graphics, HTML and CSS code. Letโs see how it works together ๐
Posting from:
๐ป๐ณ Vietnam, Mui Ne
โ๏ธ 31ยฐ C
Prompts for Dalle 3:
โThis image offers a striking aerial view reminiscent of South Vietnam's famed kite beaches. The crystal-clear, aqua-blue waters of the ocean stretch far into the horizon, blending turquoise hues with deeper shades of blue. The pristine white sandy shore is adorned with rows of swaying palm trees, casting gentle shadows under the sun. Throughout the waters, vibrant kite-surfers are seen, their colorful kites dancing in the sky and adding a dynamic contrast against the backdrop of the serene sea. In the foreground, a wooden desk under a thatched roof provides a modern touch to the traditional landscape. Atop the desk, a laptop displays a digital interface, and it's flanked by an organized set of books, a green plant, and a mousepad. The scene perfectly captures the essence of South Vietnam's beaches, where the tranquility of nature meets contemporary life.โ
โฆ Just my initial experiments with personal static website fully made by AI: structure, content, headers, graphics, HTML and CSS code. Letโs see how it works together ๐
Posting from:
๐ป๐ณ Vietnam, Mui Ne
โ๏ธ 31ยฐ C
OpenAI GPT4 Turbo ๐ฅ ๐ฅ ๐ฅ
128k tokens context window ๐ฆพ๐คฏ
Knowledge cutoff April 2023 ๐ซถ
https://www.youtube.com/live/U9mJuUkhUzk
128k tokens context window ๐ฆพ๐คฏ
Knowledge cutoff April 2023 ๐ซถ
https://www.youtube.com/live/U9mJuUkhUzk
YouTube
OpenAI DevDay: Opening Keynote
Join us for the opening keynote from OpenAI DevDay โ OpenAIโs first developer conference.
Weโre gathering developers from around the world for an in-person day of programming to learn about the latest AI advancements and explore what lies ahead.
New modelsโฆ
Weโre gathering developers from around the world for an in-person day of programming to learn about the latest AI advancements and explore what lies ahead.
New modelsโฆ
HTML Embed Code: