ZTO Labs

🎉 Congratulations to ZTO Labs on officially turning 1! Thank you to the entire ZTO-ers family for staying resilient and overcoming a challenging first year together. The road ahead is full of opportunities – let’s continue to move forward as one and break through even stronger! 💪🚀 #ZTO1stAnniversary #ZTOLabs

👉 NO ONE SHOULD MISS THIS: HOW CHATGPT GENERATES RESPONSES In just a few short seconds after you enter a prompt, ChatGPT goes through a long and complex process before generating a response on your screen. To create a complete answer, ChatGPT processes information through hundreds of layers, each building the response one word at a time. Specifically, each layer follows these steps: 💡 Step 1: Masked Multi-head Self Attention & Add & Norm Simply put, during this process, a masking layer hides future words, so ChatGPT can only analyze the words already provided. This helps the model calculate the importance of each word through attention scores. In the Add step, the calculated importance scores are added to the original input, which consists of word representation vectors. This ensures that the model retains the initial information while incorporating new insights about word relationships. Then, Norm (short for Normalization) adjusts the calculated values within a specific range to prevent extreme values that could introduce biases and make the model unstable. 💡 Step 2: Feed Forward Network & Add & Norm The Feed Forward Network is a simple neural network that helps ChatGPT understand complex relationships between words. It generates new, more refined word representation vectors, adding deeper meaning to word associations. The Add & Norm step functions similarly to the one in Masked Multi-head Self Attention. By passing through many such layers, the model learns to predict the next word with greater accuracy based on context. Eventually, we reach the Linear & Softmax step, the final stage in generating the next word. 💡 Step 3: Linear & Softmax In the Linear layer, each word in the vocabulary is assigned a score based on its likelihood of appearing next. These scores are then converted into probabilities in the Softmax layer (ranging from 0 to 1). The word with the highest probability is selected as the output and added to the response. This process repeats, with the newly generated sequence fed back into the model to predict the next word. 🤓 Example: Let’s say we start with the phrase: "I am very..." Step 1: ChatGPT analyzes the relationships between "I", "am", and "very" to understand the meaning and context. It recognizes that "very" often precedes an adjective. Step 2: ChatGPT determines that words expressing emotions (e.g., "happy", "tired", "sad") are likely to follow. Step 3: It assigns probabilities to these words—e.g., "happy" (40%), "sad" (20%), "tired" (5%)—and selects "happy" as the next word since it has the highest probability. And all of this happens in just seconds. Pretty fast, right? 🚀 #ChatGPT #GenAI

Some of must-try ChatGPT prompts! 😋 #GenAI #ChatGPT #ZTOLabs

BEST CHATGPT PROMPT FORMULA EVER FOR ANY FIELD You don’t need more than one formula to craft effective ChatGPT prompts. To get the most relevant response, simply be as specific as possible with your request. 👉 Task: Clearly define the task you want ChatGPT to perform. Start your prompt with a verb. For example, say “Explain how blockchain works” to immediately direct ChatGPT’s response, instead of “How does blockchain work?” which is vague and could lead to unclear answers. 👉 Context: Provide background information about yourself, including your starting point, goals, and constraints. For instance, if you're a fresh graduate aiming to master coding skills and looking for beginner-friendly courses but only have free time in the evening, mention these details to get tailored recommendations. 👉 Example: If you have a specific output in mind, include a relevant example. This could be a Facebook post with a writing style you want to replicate or a past viral topic you’d like to base your content on. 👉 Persona: Define the role you want ChatGPT to take when responding. If you miss your mom but can’t call her, ask ChatGPT to reply as your mother—whether she’s kind and gentle or strict and serious. If you want insights from a public figure, pick a globally recognized person like Jeff Bezos or Taylor Swift. 👉 Format: Specify the structure of the output—should it be a table with clearly labeled columns? A paragraph of a certain word count? A poem with a particular rhyme scheme and number of lines? The more detailed, the better. 👉 Tone: Define the style or emotion of the response—should it be formal, casual, friendly, serious, or humorous? The right tone helps ensure the response matches your intent. Follow ZTO Labs to stay updated with more cool and useful insights on GenAI! 🚀

Happy International Women’s Day 🌷🌷🌷

OPENAI LAUNCHES GPT-4.5: MORE ACCURATE, HIGHER "EQ," AND SIGNIFICANTLY MORE EXPENSIVE The latest version, GPT-4.5, is trained on a significantly larger dataset, powered by advanced computational resources, and fine-tuned with an optimized architecture. As a result, this model possesses broader general knowledge, recognizes patterns and real-world relationships more clearly, and offers more precise and creative insights without relying on complex reasoning processes. Compared to GPT-4.0, GPT-4.5 has improved response accuracy, boosting the correct answer rate from 38.2% to 62.5%. Additionally, the issue of AI "hallucinations" — where ChatGPT generates false or non-existent information — has been noticeably reduced, dropping from 61.8% to 37.1%. OpenAI has also introduced new techniques to enhance conversational capabilities, allowing GPT-4.5 to better grasp nuances, hidden intentions, and interact more naturally with users — making it even more effective for real-world tasks. Thanks to its extensive knowledge base, improved user understanding, and heightened "EQ," GPT-4.5 excels in writing, coding, and problem-solving — all core strengths of ChatGPT. However, with these advancements comes a hefty price tag. Compared to GPT-4.0: 2.5 times more expensive. Compared to GPT-3.5: a staggering 37 times higher. And versus older models, like GPT-3 Davinci 11 times the cost. GPT-4.5 is now live and available for Pro users and the global developer community to explore. #GPT45 #OpenAI #ChatGPT #AI

Just in case you don’t know what to say on Valentine’s Day, I’ve got your back 😉 #ztolabs #valentine

🥳 ZTO Labs Year-End Party 🌸 2024 just felt like yesterday. As ZTO Labs takes some really first steps into 2025, we have a small and cozy gathering to celebrate the past year. Together, we raised our glasses of beer and savored Western cuisine, all while donning a casual dress code that reflects the everyday comfort of ZTO-ers. 🤪 The evening was filled with joy—from the "hidden talents" of our undercover singers to the excitement of Leo, Lilly, and Linh QA winning the Lucky Draw, and the laughter as everyone uncovered fun facts about the company during the Q&A game. Most heartwarming was the chance to meet our teammates who traveled all the way from Ho Chi Minh City to the North after a long year apart. 🎉 We hope that in the years to come, even if people change, ZTO Labs will remain united, supporting one another just as we always have. Welcome, 2025! Wishing for success and happiness in all things!

🥳 The “signature” of ZTO Labs is our deep-dive AI projects. That’s why, regardless of the department, everyone is encouraged to learn and leverage AI to optimize their daily work efficiency. 🫨 What’s special is that all expenses are fully covered by the company—from online courses to shelves full of paperbacks—all aimed at helping team members improve their expertise every day. 🤩 Apply to work at ZTO Labs if you, too, want to get paid to learn: https://xmrrwallet.com/cmx.plnkd.in/gqfrNETX

🥹 2 thái cực đi bão đêm qua của các ZTO-ers 🇻🇳 Dù ở nhà hay ngoài đường thì đều ngập tràn tình ái quốc và lòng tự hào về lá cờ đỏ sao vàng nhé. Chúc mừng Việt Nam vô địch 🥳🥳