Best AI tools for< Post-train Models >

AI Jobs is a curated list of the best AI jobs for developers, designers and marketers. It provides a platform for companies to post their AI-related job openings and for job seekers to find their dream AI job. The website also includes a blog with articles on the latest AI trends and technologies.

Laika is an AI-powered writing assistant that helps you write better, faster, and more efficiently. With Laika, you can generate text, translate languages, summarize documents, and more. Laika is designed to be easy to use, so you can get started right away. Just type in your text and Laika will do the rest.

Axonn is an AI-powered content creation tool that helps users create high-quality, on-brand content for social media. With Axonn, users can train their AI on their past content and the content of their favorite creators to generate personalized content suggestions. Axonn also includes a social media management tool that allows users to schedule posts and analyze their performance.

NotedSource is a global research and innovation platform that connects users to a network of research experts. The platform utilizes AI to scout, vet, and manage collaboration projects efficiently. Users can post requests to evaluate experts, startups, and technologies, streamline contract drafting, simplify payments, and access a single project management platform. NotedSource also offers learning and development solutions, executive education, and strategy and innovation services.

Blog Post Generator is an AI-powered tool that helps you create high-quality blog posts in seconds. With our tool, you can easily generate unique and engaging content for your blog, website, or social media channels. Our tool is easy to use and requires no technical skills. Simply select your desired language and industry, and our tool will generate a unique blog post for you.

LinkedIn Post Generator is an AI-powered tool that helps users create compelling and impactful LinkedIn posts in minutes. It offers a range of features including AI content generation, headline generation, text formatting, content calendar, and analytics. The platform analyzes trends, user behavior, and industry insights to generate posts that are relevant and engaging. It also provides a preview feature to ensure that posts look their best before publishing. LinkedIn Post Generator is designed to help users save time and effort in content creation, establish thought leadership, and drive engagement on LinkedIn.

PostPulse is an AI-powered application designed to elevate the online presence and SEO performance of SaaS startups. It generates high-quality, SEO-optimized content and publishes it on premium domains to improve search engine rankings and drive organic traffic. With flexible subscription plans and features like auto-scheduling, PostPulse aims to help SaaS founders enhance their digital footprint effortlessly.

PostGenius is a post generator powered by ChatGPT. It helps users generate social media posts by providing a link to an existing article, selecting a vibe, format, and social media platform. PostGenius then generates a post that matches the style of the external site.

Element5 is an intelligent post-acute workflow automation platform that offers solutions for authorization, eligibility, and revenue cycle management. It leverages AI-driven automation to accelerate speed to care, optimize financial outcomes, and create staff capacity. The platform is trusted by industry leaders for transforming post-acute operations and improving efficiency by automating administrative processes.

Postanza AI is a powerful tool that helps you generate fresh and engaging content for your social media channels. With Postanza AI, you can say goodbye to writer's block and hello to a never-ending stream of ideas. Whether you're looking for inspiration for a new post, a catchy headline, or even a beautiful image to accompany your content, Postanza AI has you covered. Postanza AI is the perfect tool for busy marketers, small business owners, and anyone who wants to up their social media game. With Postanza AI, you can:

Peech is a powerful platform designed for scale that allows users to automatically obtain a limitless supply of branded videos from their content with a one-click, fully AI-powered post-production process. It offers various features such as content analysis, transcription and translation, automated custom branding, text-to-video editor, frame cropper, and clip generator. Peech empowers media companies with a tailored solution to conveniently organize and categorize large volumes of video footage, maintain brand consistency, reach global audiences, effortlessly edit videos, and automatically adjust videos to various aspect ratios for optimized design across platforms.

Writery AI is an AI-powered writing tool that helps bloggers and content creators write high-quality, SEO-friendly content. It offers a range of features, including an AI article outline writer, AI article outline expander, rewriter, paraphraser, summarizer, and more. Writery AI is easy to use and affordable, making it a great option for bloggers of all levels.

Shadow is a Bot-Free AI Autopilot tool designed to assist users with post-meeting tasks. It listens to and understands conversations without a bot, helping users complete follow-up tasks 20x faster. Shadow generates transcripts, performs tasks discussed during meetings, and handles follow-up emails and CRM updates. The tool prioritizes privacy by storing recordings locally and offers features like extracting action items, key insights, follow-up emails, and performance feedback. Shadow is constantly learning new skills and aims to streamline meeting workflows for users.

SocialDude is an AI-powered content creation tool that helps businesses and individuals generate engaging and effective content for social media. With SocialDude, users can create content for a variety of platforms, including Instagram, TikTok, Facebook, YouTube, LinkedIn, and Twitter. The tool offers a range of features, including AI-driven content generation, brand-aligned content, and a user-friendly interface. SocialDude is designed to help users save time and effort while creating high-quality content that resonates with their audience.

Peech is an AI-powered video post-production platform that helps media companies create branded videos from their content quickly and easily. With Peech, you can automatically tag and categorize your videos, generate subtitles and translations, add branding elements, and edit videos with no advanced editing skills required. Peech also offers a range of features for social media marketing, including the ability to generate short-form video content and automatically resize videos for different platforms.

AutoRetouch by Meero is an AI-powered image editing solution designed to streamline the post-production process for fashion photography. It utilizes advanced AI algorithms to automate tedious tasks, allowing users to enhance their visuals with unparalleled efficiency. With a focus on meeting brand requirements, AutoRetouch offers a comprehensive suite of tools and features to optimize image quality and consistency.

MysticQuill is an AI-driven tool designed to empower professionals in enhancing their LinkedIn presence. It offers AI content generation, content calendar management, performance analytics, and personalized recommendations to optimize LinkedIn strategies. The tool aims to simplify social media experiences and foster meaningful connections for professional growth.

Auphonic is an AI-powered audio post-production web tool designed to help users achieve professional-quality audio results effortlessly. It offers a range of features such as Intelligent Leveler, Noise & Reverb Reduction, Filtering & AutoEQ, Cut Filler Words and Silence, Multitrack Algorithms, Loudness Specifications, Speech2Text & Automatic Shownotes, Video Support, Metadata & Chapters, and more. Auphonic is widely used by podcasters, educators, content creators, and audiobook producers to enhance their audio content and streamline their workflows. With its intuitive interface and advanced algorithms, Auphonic simplifies the audio editing process and ensures consistent audio quality across different platforms.

ReachifyMe is an AI-powered LinkedIn post generator that helps users create high-quality LinkedIn posts in under 7 minutes. The tool provides users with ready-made post ideas, viral post templates, and a content editor to help them craft posts that stand out in the crowded LinkedIn landscape. ReachifyMe also offers a content planner that allows users to save and schedule their posts, as well as track their performance.

Postlyy is an all-in-one platform designed to help content creators manage, schedule, and analyze content on social media platforms like Twitter and LinkedIn. It offers intuitive creation tools, deep analytics, and AI-powered features to enhance content creation and audience engagement. Postlyy aims to streamline content management processes, provide valuable insights, and empower users to grow their personal brand effectively.

LLM-Pruner is a tool for structural pruning of large language models, allowing task-agnostic compression while retaining multi-task solving ability. It supports automatic structural pruning of various LLMs with minimal human effort. The tool is efficient, requiring only 3 minutes for pruning and 3 hours for post-training. Supported LLMs include Llama-3.1, Llama-3, Llama-2, LLaMA, BLOOM, Vicuna, and Baichuan. Updates include support for new LLMs like GQA and BLOOM, as well as fine-tuning results achieving high accuracy. The tool provides step-by-step instructions for pruning, post-training, and evaluation, along with a Gradio interface for text generation. Limitations include issues with generating repetitive or nonsensical tokens in compressed models and manual operations for certain models.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

cellseg-models.pytorch is a Python library built upon PyTorch for 2D cell/nuclei instance segmentation models. It provides multi-task encoder-decoder architectures and post-processing methods for segmenting cell/nuclei instances. The library offers high-level API to define segmentation models, open-source datasets for training, flexibility to modify model components, sliding window inference, multi-GPU inference, benchmarking utilities, regularization techniques, and example notebooks for training and finetuning models with different backbones.

1.5-Pints is a repository that provides a recipe to pre-train models in 9 days, aiming to create AI assistants comparable to Apple OpenELM and Microsoft Phi. It includes model architecture, training scripts, and utilities for 1.5-Pints and 0.12-Pint developed by Pints.AI. The initiative encourages replication, experimentation, and open-source development of Pint by sharing the model's codebase and architecture. The repository offers installation instructions, dataset preparation scripts, model training guidelines, and tools for model evaluation and usage. Users can also find information on finetuning models, converting lit models to HuggingFace models, and running Direct Preference Optimization (DPO) post-finetuning. Additionally, the repository includes tests to ensure code modifications do not disrupt the existing functionality.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

LongRecipe is a tool designed for efficient long context generalization in large language models. It provides a recipe for extending the context window of language models while maintaining their original capabilities. The tool includes data preprocessing steps, model training stages, and a process for merging fine-tuned models to enhance foundational capabilities. Users can follow the provided commands and scripts to preprocess data, train models in multiple stages, and merge models effectively.

YuLan-Mini is a lightweight language model with 2.4 billion parameters that achieves performance comparable to industry-leading models despite being pre-trained on only 1.08T tokens. It excels in mathematics and code domains. The repository provides pre-training resources, including data pipeline, optimization methods, and annealing approaches. Users can pre-train their own language models, perform learning rate annealing, fine-tune the model, research training dynamics, and synthesize data. The team behind YuLan-Mini is AI Box at Renmin University of China. The code is released under the MIT License with future updates on model weights usage policies. Users are advised on potential safety concerns and ethical use of the model.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

LLMs-Zero-to-Hero is a repository dedicated to training large language models (LLMs) from scratch, covering topics such as dense models, MOE models, pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback, and deploying large models. The repository provides detailed learning notes for different chapters, code implementations, and resources for training and deploying LLMs. It aims to guide users from being beginners to proficient in building and deploying large language models.

llm-resource is a comprehensive collection of high-quality resources for Large Language Models (LLM). It covers various aspects of LLM including algorithms, training, fine-tuning, alignment, inference, data engineering, compression, evaluation, prompt engineering, AI frameworks, AI basics, AI infrastructure, AI compilers, LLM application development, LLM operations, AI systems, and practical implementations. The repository aims to gather and share valuable resources related to LLM for the community to benefit from.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

ModernBERT is a repository focused on modernizing BERT through architecture changes and scaling. It introduces FlexBERT, a modular approach to encoder building blocks, and heavily relies on .yaml configuration files to build models. The codebase builds upon MosaicBERT and incorporates Flash Attention 2. The repository is used for pre-training and GLUE evaluations, with a focus on reproducibility and documentation. It provides a collaboration between Answer.AI, LightOn, and friends.

The LLM Engineer Toolkit is a curated repository containing over 120 LLM libraries categorized for various tasks such as training, application development, inference, serving, data extraction, data generation, agents, evaluation, monitoring, prompts, structured outputs, safety, security, embedding models, and other miscellaneous tools. It includes libraries for fine-tuning LLMs, building applications powered by LLMs, serving LLM models, extracting data, generating synthetic data, creating AI agents, evaluating LLM applications, monitoring LLM performance, optimizing prompts, handling structured outputs, ensuring safety and security, embedding models, and more. The toolkit covers a wide range of tools and frameworks to streamline the development, deployment, and optimization of large language models.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework enables LLMs to reason and interact with the environment, optimizing entire trajectories for long-horizon reasoning while maintaining computational efficiency.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework consists of MDP formulation, RICO algorithm with rollout and update stages, and reward normalization strategies to stabilize training. RAGEN aims to optimize reasoning and action strategies for LLM agents operating in complex environments.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

The AI Toolkit by Ostris is a collection of tools for machine learning, specifically designed for image generation, LoRA (latent representations of attributes) extraction and manipulation, and model training. It provides a user-friendly interface and extensive documentation to make it accessible to both developers and non-developers. The toolkit is actively under development, with new features and improvements being added regularly. Some of the key features of the AI Toolkit include: - Batch Image Generation: Allows users to generate a batch of images based on prompts or text files, using a configuration file to specify the desired settings. - LoRA (lierla), LoCON (LyCORIS) Extractor: Facilitates the extraction of LoRA and LoCON representations from pre-trained models, enabling users to modify and manipulate these representations for various purposes. - LoRA Rescale: Provides a tool to rescale LoRA weights, allowing users to adjust the influence of specific attributes in the generated images. - LoRA Slider Trainer: Enables the training of LoRA sliders, which can be used to control and adjust specific attributes in the generated images, offering a powerful tool for fine-tuning and customization. - Extensions: Supports the creation and sharing of custom extensions, allowing users to extend the functionality of the toolkit with their own tools and scripts. - VAE (Variational Auto Encoder) Trainer: Facilitates the training of VAEs for image generation, providing users with a tool to explore and improve the quality of generated images. The AI Toolkit is a valuable resource for anyone interested in exploring and utilizing machine learning for image generation and manipulation. Its user-friendly interface, extensive documentation, and active development make it an accessible and powerful tool for both beginners and experienced users.

AddaxAI is an application designed to streamline the work of ecologists dealing with camera trap images. It's an AI platform that allows you to analyse images with machine learning models for automatic detection, offering ecologists a way to save time and focus on conservation efforts.

A friendly GPT that helps generate content on social media that's engaging with your followers.

Optimizes project outcomes through comprehensive post-project evaluations.

Engage in meaningful discussions on LinkedIn by effortlessly crafting comments for articles and swiftly sharing them on the platform.

Expert on postal services, providing information on mail, rates, and history.

Craft two survivors and witness their struggle in this unforgiving apocalyptic simulation. 🔥🌍💀 #NoPlayerChoices (v.1.4.0)

Get the key messages, takeaways, contrarian view from a post (link, paste text)

I create and research for top-notch LinkedIn posts

Creates 2 images for posts (1:1 & 16:9)

I write engaging and informative blog posts.

Crafts compelling X post hooks using the Disrupt formula

Etiquette expert offering advice on manners and proper conduct, in the style of Emily Post.

Expert in creating concise, SEO-friendly meta tags for blog posts.

Efficiently crafts detailed blog posts

Engaging Blog Post Idea and Timing Advisor

Rewriting Facebook posts for power and persuasion, with storytelling and CTAs.

Vibrant and visually appealing social media posts.

Sarcastic, combative, always finds the negatives.

I find guest post websites for you.

Generates a List Post

A specialized assistant for enhancing blog posts and chapters.