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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 Tiny C Compiler. While we know about 827 links to ChatGPT, we've tracked only 35 mentions of Tiny C Compiler. 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.
2. Upload to [ChatGPT](https://chat.openai.com/) or any LLM. - Source: Hacker News / 3 days ago
AI-powered interfaces: Tools like ChatGPT and Perplexity can give you an answer without ever loading a website. - Source: dev.to / 12 days ago
Systeme - for the landing page and CRM Retool - for creating the mockup screenshot Canva - image manipulation ChatGPT - wordsmithing text on the page and company logo Google Analytics - for monitoring traffic. - Source: dev.to / 19 days ago
Two of the most popular sources for doing that are ChatGPT and Grok. - Source: dev.to / 3 months 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 / 4 months ago
> I'm not sure who wants to be able to syntax highlight C at 35 MB per second, but I am now able to do so Fast, but tcc *compiles* C to binary code at 29 MB/s on a really old computer: https://bellard.org/tcc/#speed. - Source: Hacker News / 8 months ago
"Because Pnut can be distributed as a human-readable shell script (`pnut.sh`), it can serve as the basis for a reproducible build system. With a POSIX compliant shell, `pnut.sh` is sufficiently powerful to compile itself and, with some effort, [TCC](https://bellard.org/tcc/). Because TCC can be used to bootstrap GCC, this makes it possible to bootstrap a fully featured build toolchain from only human-readable... - Source: Hacker News / 11 months ago
For what it's worth you can implement a C compiler in under 10kLOC. The chibi C compiler is only a few thousand lines [1]. There is also Cake [2] and the tiny C compiler [3] which are both relatively small. [1] https://github.com/rui314/chibicc [3] https://bellard.org/tcc/. - Source: Hacker News / about 1 year ago
I was going to say, the list should include something by Fabrice Bellard. Tiny C Compiler is one. https://bellard.org/tcc/ I was thinking, maybe first version/commit of QEMU would be interesting to read. - Source: Hacker News / almost 2 years ago
I occasionally use tcc (https://bellard.org/tcc/) like an interpreter (`tcc -run`), it's convenient for certain odd tasks. Not so much for interactive stuff, but if I'm building little PoCs for an idea that will get dropped into a C project, or fiddling with structs work out how something should/is being stored, or in situations where I'm making stuff that interacts with or examples based on C code and I want to... - Source: Hacker News / about 2 years ago
Jasper.ai - The Future of Writing Meet Jasper, your AI sidekick who creates amazing content fast!
Portable C Compiler - pcc is a C99 compiler which aims to be small, simple, fast and understandable.
Copy.ai - We have created the world's most advanced artificial intelligence copywriter that enables you to create marketing copy in seconds!
GNU Compiler Collection - The GNU Compiler Collection (GCC) is a compiler system produced by the GNU Project supporting...
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.
clang - C, C++, Objective C and Objective C++ front-end for the LLVM compiler.
