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I recently acquired access to ChatGPT, one of the most advanced language models out there, and I must say it has made a significant impact on my analytics work. It has definitely become an integral part of my daily use.
Analytical support: ChatGPT does a great job of providing accurate and timely answers. It can also help me analyze large amounts of data. Efficiency: This product allows me to work more efficiently by using it to quickly find information or get recommendations.
OpenAI continues to lead the way among the foundation model providers. I started using ChatGPT at 3.5 much like many other people. And although it was extremely powerful, it doesn't compare to what it has become with the new reasoning models like o1 and o3. These models produce outputs that are on a new level in terms of quality.
I've been using custom GPT's extensively and they are very valuable once you get them dialed in to your own specific workflows. they recently rolled out projects which also have the ability to add custom instructions. Many of the custom GPT's that I've made do not need anything other than custom instructions. They don't need Web hooks or documents to reference, so a project will suffice. projects also allow connecting and switching between some of the newer reasoning models as well while custom GPT's are limited to the 4o model.
Real time voice assistant is a game changer when you are on the go. And the human-like speech synthesis is incredible. uploading photos and giving the voice assistant access to live video from your phone has so many use cases that I have yet to realize.
Many of the tools we have on WordStudio are powered by the OpenAI family of models via API. We recently hooked some of the tools to their o1 model and the improvements in the outputs are astounding.
I've tried Anthropic's Claude and have experimented with DeepSeek, but I keep returning to ChatGPT for critical work.
My journey with GPT-4 as a novice programmer has been nothing short of remarkable. I used it to write a game, and despite my limited programming knowledge, I was astonished by the results.
It makes coding suggestions, completes my code, and even identifies bugs, which has been a game-changer for me. It feels like having a co-programmer who anticipates my needs and guides me in the right direction.
Based on our record, ChatGPT seems to be a lot more popular than Neural Networks and Deep Learning. While we know about 824 links to ChatGPT, we've tracked only 49 mentions of Neural Networks and Deep Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Two of the most popular sources for doing that are ChatGPT and Grok. - Source: dev.to / about 1 month ago
GPT (Generative Pre-trained Transformer) is an AI model developed by OpenAI that can understand and generate human-like text. It will power the conversational AI features of the customer support portal, enabling the system to provide automated responses and help with personalized support through natural language processing. - Source: dev.to / 2 months ago
Play with ChatGPT: Go to ChatGPT and start chatting. Ask it anything, you’ll be amazed! - Source: dev.to / 4 months ago
Most people know about ChatGPT through chat.openai.com --- you pay a subscription and chat through their website. But there's another way: OpenAI's API. - Source: dev.to / 5 months ago
The advent of AI in art, particularly through GPT and Dall-E, marked a turning point. Initially, my gateway drug into AI was Dall-E 2 and Midjourney. Though Midjourney produced better results, I gravitated to Dall-E because it had a free tier. It led me to create background images that I could place my character poses on, like an animation cell. Dall-E 3 offered a huge upgrade in output quality. With ChatGPT... - Source: dev.to / 7 months ago
3 ~[Dive into Deep Learning](https://d2l.ai/)~ - Going deep into DL, including contemporary ideas like Transformers and Diffusion models. ⠀~[Neural networks and Deep Learning](http://neuralnetworksanddeeplearning.com/)~ could also be a great resource but the content probably overlaps significantly with 3. Would anybody add/update/remove anything? (Don't have to limit recommendations to textbooks. Also open to... - Source: Hacker News / 4 months ago
How come models can be so small now? I don't know a lot about AI, but is there an ELI5 for a software engineer that knows a bit about AI? For context: I've made some simple neural nets with backprop. I read [1]. [1] http://neuralnetworksanddeeplearning.com/. - Source: Hacker News / 4 months ago
A free book with visuals and examples to simplify neural networks and advanced concepts like CNNs. Course Link. - Source: dev.to / 5 months ago
Http://neuralnetworksanddeeplearning.com/ Coded everything from scratch, first in elixir, then rewritten some parts in C. - Source: Hacker News / 9 months ago
That is why I decided to create this entry. Also, while researching, I found the Neural Networks and Deep Learning book by Michael Nielsen, which has great explanations and helped me grasp some basic concepts. - Source: dev.to / 11 months ago
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