Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
ChatGPT
Copy.ai
Writesonic
Jasper.ai
Bard AI
OpenAI
ChatSonic
Rytr
ChatGPTMy 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.
When I started using ChatGPT in november of 2022, it was very smart. I used it quite a lot to help me rephrase my emails better, to tidy up my writing, to do some simple math that I'm too lazy to do myself, etc. But recently I noticed that it has become less and less helpful, it does things that I specifically asked it NOT to do, it struggles to rephrase my texts the way I want it to, it makes mistakes in basic math and provides all sorts of incorrect information. Now it annoys me way more than it helps me.
ChatGPT is a powerful, open-source language model AI tool, very fastly response query to users.
Based on our record, ChatGPT seems to be a lot more popular than Keras. While we know about 815 links to ChatGPT, we've tracked only 32 mentions of Keras. 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.
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 12 days ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
By following these steps, developers can train ChatGPT on their own data. This will allow to give personalized, accurate, and domain-specific responses. Keep in mind that this process requires technical skills and can take more time than using no-code platforms. - Source: dev.to / 9 days ago
ChatGPT prompt: Act like a senior software developer mentor. Explain to me in the simplest way possible what javascript Symbols are, making very basic examples that DO NOT use "foo" "bar" words. Make small sentences and ask me often if I am able to understand. Thank you. - Source: dev.to / 9 days ago
AI and LLMs such as ChatGPT are amazing at what they do, but they suffer from the lack of "an opposable thumb", to use an analogy. This implies that as stand alone products, they can't really do much, if anything at all. - Source: dev.to / 14 days ago
Prompt Engineering is the art of instructing an LLM such as ChatGPT to do what you want it to do, using nothing but natural language, logic, and reason. The process is probably easily within reach of 80% of the world's population, while less than 0.3% of the world's population knows how to code. - Source: dev.to / 16 days ago
"ChatGPT" in this case means the frontends https://chat.openai.com and https://chatgpt.com, not the API. - Source: Hacker News / 18 days ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Copy.ai - We have created the world's most advanced artificial intelligence copywriter that enables you to create marketing copy in seconds!
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Writesonic - If you’ve ever been stuck for words or experienced writer’s block when it comes to coming up with copy, you know how frustrating it is.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Jasper.ai - The Future of Writing Meet Jasper, your AI sidekick who creates amazing content fast!