OPT-175B is Meta’s open source large language model with more than 175 billion parameters – comparable to GPT-3. The advantage of OPT-175B over GPT-3 is that it is completely free. Meta also publishes code repositories, development process logs, data, research papers, and other information related to OPT-175B. Although OPT-175B is free, Meta also gives some […]
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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Spry is an HTTP middleware framework for the Dart language that makes writing web applications and API servers more enjoyable. import ‘package:spry/spry.dart’; main() { final Spry spray = Spry(); handler(Context context) { context.response.text(‘Hello Spry!’); } spry. listen(port: 3000, handler);} philosophy Spry is a framework for building web applications and APIs. It is designed to be
Stanford Alpaca (Stanford Alpaca) is an instruction-tuned LLaMA model fine-tuned from Meta’s large language model LLaMA 7B. Stanford Alpaca lets OpenAI’s text-davinci-003 model generate 52K instruction-following samples in a self-instruct manner as Alpaca’s training data. The research team has open sourced the training data, codes for generating training data, and hyperparameters, and will release model
Prisma (for Dart) is for Dart and Flutternext generation ORM. Most Popular Databases: Prisma supports PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB, and CockroachDB. type safety: Prisma Client is a query builder tailored to your schema. We’ve designed its API to be intuitive and suitable for SQL veterans as well as developers new
RWKV is a language model that combines RNN and Transformer. It is suitable for long texts, runs faster, has better fitting performance, occupies less video memory, and takes less time for training. The overall structure of RWKV still adopts the idea of Transformer Block, and its overall structure is shown in the figure: Compared with
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
Lit-LLaMA is an implementation of the nanoGPT-based LLaMA language model that supports quantization, LoRA fine-tuning, and pre-training. Design Principles Simple: single file implementation, no boilerplate code Correct: Numerically equivalent to the original model Optimized: run on consumer hardware or at scale Open source: no strings attached set up Clone repository
MindPose is an open-source MindSpore-based pose estimation toolbox. It collects a series of classical and SoTA vision models, such as HRNet, and their pre-trained weights and training strategies. Key Features Ease of use. MindPose breaks down the vision framework into various configurable components. Use MindPose to easily customize your data pipelines, models and learning pipelines:
nanoGPT claims to be the easiest and fastest database for training/tuning medium-sized GPT, and is still under active development, but the documentation train.pyGPT-2 was reproduced on OpenWebText (trained for about 4 days on an 8XA100 40GB node). Because the code is so simple, it’s easy to modify it to suit your needs, train a new
The goal of the MindSpore MindFormers kit is to build a full-process development kit for large model training, reasoning, and deployment: it provides the industry’s mainstream Transformer-type pre-training model and SOTA downstream task applications, covering a wealth of parallel features. It is expected to help users easily realize large model training and innovative research and
MindOCR is an open source toolbox for OCR development and application based on the MindSpore framework, which can help users train and apply the industry’s best text detection and text recognition models, such as DBNet/DBNet++ and CRNN/SVTR, to meet the needs of image text understanding . Main features: Modular design: MindOCR decouples OCR tasks into
Tune-A-Video generates video directly from text. According to reports, according to a text description and a reference video, Tune-A-Video can quickly generate an open text-image pre-training model, such as StableDiffusion, and adjust it to generate GIF animations/videos on an A100 Training only takes 5-10 minutes. #TuneAVideo #Homepage #Documentation #Download #Generate #GIF #animationvideo #based #text #description
OrientDB is a high-performance document and graph database, which has a great speed advantage in relational search and traversal, especially when dealing with join operations in traditional relational databases, graph databases have incomparable advantages. Although OrientDB officially provides a Java SDK, there is still a certain learning cost, and manual operation scripts are required. This
