Search Results for "lms"
Sort By:
Showing 4 open source projects for "lms"
View related business solutions-
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
-
Unlock the Power of Web IntelligenceSee your detailed proxy usage statistics, easily create sub-users, whitelist your IPs, and conveniently manage your account. Do it all in the Oxylabs® dashboard. Save your time and resources with a data collection tool that has a 100% success rate and does all of the heavy-duty data extraction from e-commerce websites and search engines for you. With our provided solutions and the best proxies, focus on data analysis rather than data delivery. We make sure that our IP proxy resources are stable and reliable, so no issues occur during scraping jobs. We continuously work on expanding the current proxy pool to fit every customer's needs. Our clients & customers can reach out to us at any time, and we respond to their urgent needs around the clock. Choose the best proxy service and we’ll provide all the support you need. We want you to excel in scraping jobs, so we share all the know-how we have gathered over the years.
-
1
SWE-agent
SWE-agent takes a GitHub issue and tries to automatically fix it
SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories. On the SWE-bench, the SWE-agent resolves 12.47% of issues, achieving state-of-the-art performance on the full test set. We accomplish our results by designing simple LM-centric commands and feedback formats to make it easier for the LM to browse the repository, and view, edit, and execute code files. -
2
GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs
GLM-4 is a family of open models from ZhipuAI that spans base, chat, and reasoning variants at both 32B and 9B scales, with long-context support and practical local-deployment options. The GLM-4-32B-0414 models are trained on ~15T high-quality data (including substantial synthetic reasoning data), then post-trained with preference alignment, rejection sampling, and reinforcement learning to improve instruction following, coding, function calling, and agent-style behaviors. The... -
3
GLM-4-32B-0414
Open Multilingual Multimodal Chat LMs
GLM-4-32B-0414 is a powerful open-source large language model featuring 32 billion parameters, designed to deliver performance comparable to leading models like OpenAI’s GPT series. It supports multilingual and multimodal chat capabilities with an extensive 32K token context length, making it ideal for dialogue, reasoning, and complex task completion. The model is pre-trained on 15 trillion tokens of high-quality data, including substantial synthetic reasoning datasets, and further enhanced... -
4
Repo of Tree of Thoughts (ToT)
Implementation of "Tree of Thoughts
...To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of Thought approach to prompting language models and enables exploration over coherent units of text (thoughts) that serve as intermediate steps toward problem-solving. ToT allows LMs to perform deliberate decision-making by considering multiple different reasoning paths and self-evaluating choices to decide the next course of action, as well as looking ahead or backtracking when necessary to make global choices. -
InboxAlly: Email Deliverability Software that WorksEmail deliverability software guaranteed to boost email placement. InboxAlly's real-time tracking and email warmup ensure your messages hit the inbox.
- Previous
- You're on page 1
- Next
