Best AI tools for< Optimize Memory >

Unsloth is an AI tool designed to make finetuning large language models like Llama-3, Mistral, Phi-3, and Gemma 2x faster, use 70% less memory, and with no degradation in accuracy. The tool provides documentation to help users navigate through training their custom models, covering essentials such as installing and updating Unsloth, creating datasets, running, and deploying models. Users can also integrate third-party tools and utilize platforms like Google Colab.

Mebot is an AI-powered application designed to help users enhance their memory and cognitive skills. By leveraging artificial intelligence technology, Mebot provides personalized memory training exercises and techniques to improve memory retention and recall. Users can track their progress, set reminders, and receive tailored recommendations to optimize their memory performance. With Mebot, users can enjoy a fun and engaging way to boost their memory capabilities and overall cognitive function.

Timely is an AI-powered time tracking software designed to automate time tracking, bill clients accurately, and enhance productivity. It offers features such as automatic time tracking, memory tracker, timesheets, project dashboard, and efficient task management. Timely is trusted by thousands of users across various industries to provide accurate time data for informed decision-making and improved business operations.

Timely.com is an AI-powered time tracking software designed to help businesses automate time tracking, bill clients accurately, and focus on important tasks. It offers features such as automatic time tracking, memory tracker, timesheets, project dashboard, and billable rates. Timely is trusted by thousands of users in various industries and provides actionable insights to maximize margins, optimize utilization, and drive profitability. The application is known for its accuracy, efficiency, and user-friendly interface.

Kin is a personal AI application designed to enhance both your private and work life. It offers personalized coaching, guidance, and emotional support to boost your confidence and impact. Kin helps you piece together mental puzzles, providing clear guidance and support for your professional and personal journey. The application prioritizes privacy and security, ensuring that all data stays on your device and is encrypted. With features like advice, role-playing conversations, generating ideas, and time optimization, Kin aims to nurture connections, prepare for tough situations, and help you manage tasks efficiently.

Wordjotter is an AI-powered Anki flashcards application that utilizes artificial intelligence to enhance the learning experience. It helps users create and study flashcards efficiently by leveraging AI algorithms to optimize content and improve retention. With Wordjotter, users can easily create personalized flashcards, receive intelligent recommendations, track their progress, and collaborate with others in a seamless manner. The application aims to revolutionize the traditional flashcard learning method by incorporating AI technology to make learning more effective and engaging.

Memgrain is an AI-powered study tool that offers a range of features to help users create, study, memorize, and learn through flashcards and book summaries. The platform leverages AI technology to generate interactive flashcards from various sources like notes, PDFs, and webpages. Users can utilize spaced repetition algorithms for effective memorization and personalized learning experiences. Memgrain aims to revolutionize the way knowledge is absorbed and retained by combining academic rigor with innovative technology.

Quizgecko is an AI study tool that offers a comprehensive platform for creating and sharing quizzes, tests, and flashcards. It leverages AI technology to automatically generate quizzes and tests from user content, turning notes into digital flashcards, and providing detailed stats and reports. The platform also includes mobile apps for convenient studying on-the-go, personalized learning experiences, and spaced repetition techniques to optimize learning. Quizgecko caters to students, educators, and businesses, offering a smarter way to study with AI-powered features.

Keebo is an AI tool designed for Snowflake optimization, offering automated query, cost, and tuning optimization. It is the only fully-automated Snowflake optimizer that dynamically adjusts to save customers 25% and more. Keebo's patented technology, based on cutting-edge research, optimizes warehouse size, clustering, and memory without impacting performance. It learns and adjusts to workload changes in real-time, setting up in just 30 minutes and delivering savings within 24 hours. The tool uses telemetry metadata for optimizations, providing full visibility and adjustability for complex scenarios and schedules.

Google Chrome is a fast and secure web browser developed by Google. It is designed to provide a smooth browsing experience across different platforms. The browser offers features like Energy Saver and Memory Saver to optimize performance, tab management tools for organization, and automatic updates every four weeks. Additionally, Chrome integrates AI innovations such as generative themes, AI-powered writing assistance, tab organization suggestions, and Google Lens for visual search capabilities. It also prioritizes safety with features like Password Manager, Enhanced Safe Browsing, Safety Check, and Privacy Guide.

Timely is an AI-powered automatic time tracking solution designed for consultancies, agencies, and software companies. It helps users automate time tracking, bill clients accurately, and focus on important tasks. With features like memory tracking, timesheets, project dashboard, and task management, Timely streamlines workflow and enhances team collaboration. The application offers benefits such as 100% accurate time data, optimized utilization, and improved margins. However, manual time tracking can lead to inaccurate data, lost efficiency, and employee dissatisfaction. Timely's AI technology eliminates manual input, provides comprehensive reporting, and ensures team-wide transparency, making time tracking and reporting pain-free.

PodPulse is an AI-powered tool that transforms lengthy podcasts into concise and captivating summaries, providing users with essential key takeaways and valuable insights. It offers a streamlined way to access a rich variety of podcast topics and creators, delivering bite-sized wisdom tailored for the modern listener. With AI-generated summaries, users can trust in a fair and comprehensive grasp of each podcast episode, free from bias. PodPulse also revolutionizes the reading experience with Bionic Reading®, making learning engaging and accessible for all users, including those with dyslexia and ADHD. Users can effortlessly save, sort, and revisit their favorite podcast moments, creating a personalized audio library at their fingertips. Additionally, PodPulse boosts memory power with brain-boosting emails that help retain key highlights. The tool aims to optimize time and amplify knowledge for users at an affordable price.

Mentals.ai is an operating system for AI agents that enables users to design and deploy complex AI agents using natural language instructions. It focuses on creativity and logic rather than programming, allowing for multi-agent collaboration, advanced features like memory and code execution, and various use cases such as business automation, personal automation, and marketing automation. The platform also supports the creation of intelligent chatbots, virtual employees, and multi-agent systems, revolutionizing productivity and problem-solving in various domains.

Wingman is an AI dating coach application that offers personalized dating advice to straight men. It provides services such as chatbot coaching, profile optimization, and conversation feedback to help users improve their dating game and increase their chances of finding meaningful connections. Wingman prioritizes user privacy by ensuring all interactions are fully anonymized, and it continuously updates its memory bank to provide tailored advice. The application is currently in beta phase and offers complimentary access to invited users, with plans to introduce a free trial version upon official launch.

The website Resha offers a comprehensive collection of artificial intelligence and software tools in one place. Users can explore various categories such as artificial intelligence, coding, art, audio editing, e-commerce, developer tools, email assistants, search engine optimization tools, social media marketing, storytelling, design assistants, image editing, logo creation, data tables, SQL codes, music, text-to-speech conversion, voice cloning, video creation, video editing, 3D video creation, customer service support tools, educational tools, fashion, finance management, human resources management, legal assistance, presentations, productivity management, real estate management, sales management, startup tools, scheduling, fitness, entertainment tools, games, gift ideas, healthcare, memory, religion, research, and auditing.

Chatty is an AI-powered chat application that utilizes cutting-edge models to provide efficient and personalized responses to user queries. The application is designed to optimize VRAM usage by employing models with specific suffixes, resulting in reduced memory requirements. Users can expect a slight delay in the initial response due to model downloading. Chatty aims to enhance user experience through its advanced AI capabilities.

Memorly.AI is an AI tool designed to help businesses grow by leveraging AI agents to manage sales and support operations seamlessly. The tool offers personalized engagement and optimized processes through autonomous workflows, efficient customer interactions across multiple channels, and 24/7 human-like interactions. With Memorly.AI, businesses can handle high volumes without increasing costs, leading to improved conversation rates, customer engagement, and cost reduction. The tool is pay-per-use and allows businesses to deploy AI agents on various channels like WhatsApp, websites, VoIP, and more.

Creative Copilot is an AI-powered tool that helps businesses optimize their creative content for better performance and branding. It provides high-accuracy creative pretesting, allowing users to predict the impact of their ads and get improvement recommendations. The tool also offers creative analytics, enabling users to see what creative elements drive impact for their brand on each channel.

ReliveAI is a no-code AI platform that simplifies building AI-powered workflows and agents, enabling rapid business process automation with a user-friendly interface. It offers prebuilt AI Agents to transform business operations, customizable AI workflows tailored to user data, and seamless integration with multiple AI models and APIs. The platform enhances Salesforce with advanced NLP, translates natural language into precise SQL queries, and provides automation for Airtable, Gmail, Notion, Slack, and Google Drive. ReliveAI aims to optimize processes, improve decision-making, and unlock the full potential of user data.

JourneyPlan is an AI-powered travel planning platform that creates personalized trip plans based on your interests, preferences, and budget. It uses cutting-edge AI technology to optimize every aspect of your trip, from activities and dining to transportation and accommodations. With JourneyPlan, you can rest assured that every detail of your trip has been carefully planned with you in mind. And the best part? It's completely free!

GLake is an acceleration library and utilities designed to optimize GPU memory management and IO transmission for AI large model training and inference. It addresses challenges such as GPU memory bottleneck and IO transmission bottleneck by providing efficient memory pooling, sharing, and tiering, as well as multi-path acceleration for CPU-GPU transmission. GLake is easy to use, open for extension, and focuses on improving training throughput, saving inference memory, and accelerating IO transmission. It offers features like memory fragmentation reduction, memory deduplication, and built-in security mechanisms for troubleshooting GPU memory issues.

APOLLO is a memory-efficient optimizer designed for large language model (LLM) pre-training and full-parameter fine-tuning. It offers SGD-like memory cost with AdamW-level performance. The optimizer integrates low-rank approximation and optimizer state redundancy reduction to achieve significant memory savings while maintaining or surpassing the performance of Adam(W). Key contributions include structured learning rate updates for LLM training, approximated channel-wise gradient scaling in a low-rank auxiliary space, and minimal-rank tensor-wise gradient scaling. APOLLO aims to optimize memory efficiency during training large language models.

cake is a pure Rust implementation of the llama3 LLM distributed inference based on Candle. The project aims to enable running large models on consumer hardware clusters of iOS, macOS, Linux, and Windows devices by sharding transformer blocks. It allows running inferences on models that wouldn't fit in a single device's GPU memory by batching contiguous transformer blocks on the same worker to minimize latency. The tool provides a way to optimize memory and disk space by splitting the model into smaller bundles for workers, ensuring they only have the necessary data. cake supports various OS, architectures, and accelerations, with different statuses for each configuration.

KIVI is a plug-and-play 2bit KV cache quantization algorithm optimizing memory usage by quantizing key cache per-channel and value cache per-token to 2bit. It enables LLMs to maintain quality while reducing memory usage, allowing larger batch sizes and increasing throughput in real LLM inference workloads.

biniou is a self-hosted webui for various GenAI (generative artificial intelligence) tasks. It allows users to generate multimedia content using AI models and chatbots on their own computer, even without a dedicated GPU. The tool can work offline once deployed and required models are downloaded. It offers a wide range of features for text, image, audio, video, and 3D object generation and modification. Users can easily manage the tool through a control panel within the webui, with support for various operating systems and CUDA optimization. biniou is powered by Huggingface and Gradio, providing a cross-platform solution for AI content generation.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

Anima is the first open-source 33B Chinese large language model based on QLoRA, supporting DPO alignment training and open-sourcing a 100k context window model. The latest update includes AirLLM, a library that enables inference of 70B LLM from a single GPU with just 4GB memory. The tool optimizes memory usage for inference, allowing large language models to run on a single 4GB GPU without the need for quantization or other compression techniques. Anima aims to democratize AI by making advanced models accessible to everyone and contributing to the historical process of AI democratization.

The Bee Agent Framework is an open-source tool for building, deploying, and serving powerful agentic workflows at scale. It provides AI agents, tools for creating workflows in Javascript/Python, a code interpreter, memory optimization strategies, serialization for pausing/resuming workflows, traceability features, production-level control, and upcoming features like model-agnostic support and a chat UI. The framework offers various modules for agents, llms, memory, tools, caching, errors, adapters, logging, serialization, and more, with a roadmap including MLFlow integration, JSON support, structured outputs, chat client, base agent improvements, guardrails, and evaluation.

The fsdp_qlora repository provides a script for training Large Language Models (LLMs) with Quantized LoRA and Fully Sharded Data Parallelism (FSDP). It integrates FSDP+QLoRA into the Axolotl platform and offers installation instructions for dependencies like llama-recipes, fastcore, and PyTorch. Users can finetune Llama-2 70B on Dual 24GB GPUs using the provided command. The script supports various training options including full params fine-tuning, LoRA fine-tuning, custom LoRA fine-tuning, quantized LoRA fine-tuning, and more. It also discusses low memory loading, mixed precision training, and comparisons to existing trainers. The repository addresses limitations and provides examples for training with different configurations, including BnB QLoRA and HQQ QLoRA. Additionally, it offers SLURM training support and instructions for adding support for a new model.

pgvecto.rs is a Postgres extension written in Rust that provides vector similarity search functions. It offers ultra-low-latency, high-precision vector search capabilities, including sparse vector search and full-text search. With complete SQL support, async indexing, and easy data management, it simplifies data handling. The extension supports various data types like FP16/INT8, binary vectors, and Matryoshka embeddings. It ensures system performance with production-ready features, high availability, and resource efficiency. Security and permissions are managed through easy access control. The tool allows users to create tables with vector columns, insert vector data, and calculate distances between vectors using different operators. It also supports half-precision floating-point numbers for better performance and memory usage optimization.

TPI-LLM (Tensor Parallelism Inference for Large Language Models) is a system designed to bring LLM functions to low-resource edge devices, addressing privacy concerns by enabling LLM inference on edge devices with limited resources. It leverages multiple edge devices for inference through tensor parallelism and a sliding window memory scheduler to minimize memory usage. TPI-LLM demonstrates significant improvements in TTFT and token latency compared to other models, and plans to support infinitely large models with low token latency in the future.

Liger Kernel is a collection of Triton kernels designed for LLM training, increasing training throughput by 20% and reducing memory usage by 60%. It includes Hugging Face Compatible modules like RMSNorm, RoPE, SwiGLU, CrossEntropy, and FusedLinearCrossEntropy. The tool works with Flash Attention, PyTorch FSDP, and Microsoft DeepSpeed, aiming to enhance model efficiency and performance for researchers, ML practitioners, and curious novices.

Run your own AI cluster at home with everyday devices. Exo is experimental software that unifies existing devices into a powerful GPU, supporting wide model compatibility, dynamic model partitioning, automatic device discovery, ChatGPT-compatible API, and device equality. It does not use a master-worker architecture, allowing devices to connect peer-to-peer. Exo supports different partitioning strategies like ring memory weighted partitioning. Installation is recommended from source. Documentation includes example usage on multiple MacOS devices and information on inference engines and networking modules. Known issues include the iOS implementation lagging behind Python.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

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.

YuE (乐) is an open-source foundation model designed for music generation, specifically transforming lyrics into full songs. It can generate complete songs in various genres and vocal styles, ensuring a polished and cohesive result. The model requires significant GPU memory for generating long sequences and recommends specific configurations for optimal performance. Users can customize the number of sessions for memory usage. The tool provides a quickstart guide for generating music using Transformers and includes tips for execution time and tag selection. The project is licensed under Creative Commons Attribution Non Commercial 4.0.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

InternGPT (iGPT) is a pointing-language-driven visual interactive system that enhances communication between users and chatbots by incorporating pointing instructions. It improves chatbot accuracy in vision-centric tasks, especially in complex visual scenarios. The system includes an auxiliary control mechanism to enhance the control capability of the language model. InternGPT features a large vision-language model called Husky, fine-tuned for high-quality multi-modal dialogue. Users can interact with ChatGPT by clicking, dragging, and drawing using a pointing device, leading to efficient communication and improved chatbot performance in vision-related tasks.

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