Language

engshell homepage, documentation and downloads – a shell that supports natural language interaction – News Fast Delivery

engshell is an English shell for any operating system, powered by LLM. how to use Installation dependencies: pip install -r requirements.txt Create in the engshell directory keys.py definition OPENAI_KEY run python engshell.py open engshell Optional: Add the engshell directory to your PATH environment variable to access it from anywhere. notes: –llm LLM queries are encouraged […]

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LoRA Homepage, Documentation and Downloads – Low Rank Adaptation of Large Language Models – News Fast Delivery

LoRA is an abbreviation for Low-Rank Adaptation of Large Language Models, that is, low-rank adaptation of large language models. It freezes the weights of the pre-trained model and injects a trainable rank factorization matrix into each layer of the Transformer architecture, greatly reducing the number of trainable parameters for downstream tasks. Compared to GPT-3 175B

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GLM homepage, documentation and downloads – a general pre-training framework for natural language understanding and generation – News Fast Delivery

GLM (General Language Model) It is a general-purpose language model pre-trained with autoregressive filling-in-the-blank targets launched by Tsinghua University, which can be fine-tuned for various natural language understanding and generation tasks. GLM improves on gap-fill pre-training by adding 2D positional encoding and allowing prediction spans in arbitrary order, resulting in better performance than BERT and

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Permafrost Engine Homepage, Documentation and Downloads – Game Engine Written in C Language – News Fast Delivery

Permafrost Engine is an OpenGL 3.3 real-time strategy game engine written in C, made in the image of old classics, but with some modern ideas. engine display Engine Features OpenGL 3.3 Programmable Pipeline Skeletal animation with GPU skinning Directional Light and Shadow Mapping Rendering of water (including reflection, refraction, soft edge

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AI Shell Homepage, Documentation and Download – Natural Language to Shell Command – News Fast Delivery

AI Shell is aA CLI that converts natural language into shell commands. set up Note: The minimum supported version of Node.js is v14 1. Install: npm install -g @builder.io/ai-shell 2. Find your API key from OpenAI 3. Set up your API ai-shell config set OPENAI_KEY=<your token> will create a .ai-shell document. usage ai <prompt> For

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LMFlow Homepage, Documentation and Downloads – An Extensible Toolkit for Large Language Models – News Fast Delivery

LMFlow was initiated by the statistics and machine learning laboratory team of Hong Kong University of Science and Technology. It is committed to establishing a fully open large-scale model research platform, supporting various experiments under limited machine resources, and improving existing data utilization methods and optimization algorithms on the platform. Efficiency, allowing the platform to

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ChatYuan Homepage, Documentation and Downloads – Dialogue Language Model – News Fast Delivery

ChatYuan is a functional dialogue language model that supports Chinese and English bilinguals. ChatYuan-large-v2 uses the same technical solution as the v1 version, and has been optimized in terms of fine-tuning data, human feedback reinforcement learning, and chain of thought. ChatYuan-large-v2 is one of the models in the ChatYuan series that achieve high-quality results with

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Cerebras-GPT Homepage, Documentation and Downloads – Large Model in Natural Language Processing – News Fast Delivery

Cerebras GPT is a pre-trained large model in the field of natural language processing open sourced by Cerebras. Its model parameters range from a minimum of 111 million to a maximum of 13 billion, with a total of 7 models. Compared with the industry’s models, Cerebras-GPT is completely open in almost all aspects without any

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BLOOM Homepage, Documentation and Downloads – Natural Language Processing Large Model – News Fast Delivery

Bloom is a large language model for natural language processing, containing 176 billion parameters, supporting 46 natural languages ​​(including Chinese) and 13 programming languages, which can be used to answer questions, translate text, extract information fragments from files, and Can be used to generate code like GitHub Copilot. The biggest advantage of the BLOOM model

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New open source! Cross-era AI programming language NGPTL++ – News Fast Delivery

On March 31, NerveMind, a subsidiary of Musk, the world’s most powerful technology madman, released a new programming language called “NGPTL++” based on GPT-4. According to the documentation, this programming language has revolutionary features that will revolutionize the field of software development. NGPTL stands for Next Generative Pre-trained Transformer Language, and ++ pays tribute to

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LLaMA Homepage, Documentation and Downloads – Large Language Model – News Fast Delivery

The full name of the LLaMA language model is “Large Language Model Meta AI”, which is Meta’s new large-scale language model (LLM). parameters vary). It is worth noting that although LaMA-13B (a model with 13 billion parameters) has more than ten times fewer model parameters than OpenAI’s GPT-3 (175 billion parameters), it can surpass the

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Diagram scripting language D2 has released version 0.3- News Fast Delivery

Version 0.3 of the chart scripting language D2 has been released. D2 is a modern diagramming scripting language that converts text into diagrams. It stands for declarative diagrams, users just need to use descriptive text and it will automatically generate diagrams. Here’s its Hello World: major changes This version of the SVG is about 5%

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D2 Homepage, Documentation and Downloads – Diagram Scripting Language – News Fast Delivery

D2 is a modern diagramming scripting language that converts text into diagrams. It stands for declarative diagrams, users just need to use descriptive text and it will automatically generate images. Here’s its Hello World: For example, to download the CLI, create a file called input.d2 file, copy and paste the following content, and run this

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