def test_extract_text_and_code_prompts(): base_message = BaseMessage( role_name="test_role_name", role_type=RoleType.USER, meta_dict=dict(), Expand Down 165 changes: 165 additions & 0 deletions 165 test/models/test_open_source_model.py Show comments View file Edit file Delete file...
To better evaluate the multilingual ability of code generation models, we propose a new benchmark HumanEval-X. While previous works evaluate multilingual program synthesis under semantic similarity (e.g.,CodeBLEU) which is often misleading, HumanEval-X evaluates the functional correctness of the gene...
In this post we will explain how Open Source GPT-4 Models work and how you can use them as an alternative to a commercial OpenAI GPT-4 solution. Everyday new open source large language models (LLMs) are emerging and the list gets bigger and bigger. We will cover these two modelsGPT-4...
[Click on image for larger view.]GitHub Copilot vs. Codeium(source: Codeium). As can be seen, besides being free, Codeium reportedly works in more IDEs and with more programming languages, while sporting similar code-generation functionality. The relative quality of that generated code, though...
The proposal of the LLaMA suite [2] of large language models (LLMs) led to a surge in publications on the topic of open-source LLMs. In many cases, the goal of these works was to cheaply produce…
论文:BAdam:A Memory Efficient Full Parameter Training Method for Large Language Models 链接:https://arxiv.org/abs/2404.02827 BAdam 是一个内存高效型优化器,可以提升微调 LLM 的效率,而且其使用便捷,仅有一个额外的超参数。 论文:On the Scalability of Diffusion-based Text-to-Image Generation ...
These containerized models are uniquely optimized and tuned to the server and accelerator to achieve optimized deployment in just a few clicks leveraging the Hugging Face Text Generation Inference (TGI) backend and available on the Dell Enterprise Hub. Jumpstart Success with Dell Implementation Services...
Reference: http://bitbucket.org/ubernostrum/django-registration/src/tip/registration/models.py#cl-85 salt = sha_constructor(str(random.random())).hexdigest()[:5] activation_key = sha_constructor(salt+user.username).hexdigest() return self.create(user=user, activation_key=activation_key) He...
In 2015, we launched the mesoSPIM initiative, an open-source project for making light-sheet microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging larger samples at higher speed and resolution has increased, requiring majo
NLP models used For maintaining meaningfulness in Questions, Questgen usesThree T5models. One for Boolean Question generation, one for MCQs, FAQs, Paraphrasing, and one for answer generation. Quora Question pairs, BoolQ, SQUAD, and MSMarco are the datasets used for training. ...