copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
GitHub - openai gpt-oss: gpt-oss-120b and gpt-oss-20b are two open . . . Try gpt-oss · Guides · Model card · OpenAI blog Download gpt-oss-120b and gpt-oss-20b on Hugging Face Welcome to the gpt-oss series, OpenAI's open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases We're releasing two flavors of these open models: gpt-oss-120b — for production, general purpose, high reasoning use cases that fit into a single
GitHub - openai gpt-2: Code for the paper Language Models are . . . gpt-2 Code and models from the paper "Language Models are Unsupervised Multitask Learners" You can read about GPT-2 and its staged release in our original blog post, 6 month follow-up post, and final post We have also released a dataset for researchers to study their behaviors
Awesome GPT - GitHub Awesome GPT A curated list of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and more
GPT-3: Language Models are Few-Shot Learners - GitHub GPT-3 achieves strong performance on many NLP datasets, including translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning or domain adaptation, such as unscrambling words, using a novel word in a sentence, or performing 3-digit arithmetic
GitHub - MuiseDestiny zotero-gpt: GPT Meet Zotero. 🧠 Use GPT to generate reply text: support gpt-3 5-turbo and gpt-4 🏷️ Command tags: Click once to accelerate your research 💬 Ask questions about current PDF file (full-text or selected text) 💬 Ask questions about selected paper (Abstract) 📝 Summarize the selected paper into several highly condensed sentences
gpt-engineer - GitHub gpt-engineer installs the binary 'bench', which gives you a simple interface for benchmarking your own agent implementations against popular public datasets The easiest way to get started with benchmarking is by checking out the template repo, which contains detailed instructions and an agent template
GPT-5 Coding Examples - GitHub GPT-5 will scaffold the app, write files, install dependencies as needed, and show a live preview This is the go-to solution for developers who want to bootstrap apps or add features quickly You can also use GPT-5 with any other AI coding tool that supports the model