Visit
What is Pocket LLM?
ThirdAI is a platform that focuses on making advanced large language models (LLMs) and other state-of-the-art AI technologies easily accessible to everyone. Their primary goal is to offer personalized and private AI solutions, specifically trained on standard hardware. These solutions ensure incredibly fast inference with minimal latency, removing the necessity for GPUs, TPUs, or specialized ASIC.
Information
- Financing
- $10.00M
- Revenue
- $25.00M
- Language
- English
- Price
- Free
Pros VS Cons
- Pros
- Pocket LLM offers swift document search, hash-based processing algorithms, accelerated neural network training, fast deep learning inference, cloud-free functionality, full data privacy control, and compatibility with Mac and Windows, making it beneficial for legal firms, journalists, researchers, and knowledge builders in creating quick knowledge bases with quick citation and context-finding capabilities.
- Cons
- However, Pocket LLM is limited to Mac and Windows, supports only PDFs and documents, lacks collaborative features and a mobile app, has limited customization options, lacks support for other languages, lacks cloud integration, and is unsuitable for non-tech-savvy users with no API for integration.
Freework.ai Spotlight
Display Your Achievement: Get Our Custom-Made Badge to Highlight Your Success on Your Website and Attract More Visitors to Your Solution.
Website traffic
- Monthly visits6.88K
- Avg visit duration00:01:42
- Bounce rate67.01%
- Unique users4.09K
- Total pages views12.93K
Access Top 5 countries
Traffic source
Pocket LLM FQA
- What is BOLT2.5B?
- What solutions does ThirdAI offer?
- What are the benefits of using ThirdAI's LLMs?
- What is the training time for ThirdAI's LLMs?
- How does ThirdAI achieve higher accuracy and personalization?
Pocket LLM Use Cases
Build Your Own LLMs
Classify: Topic modeling, Sentiment Analysis, Intent Classification
Personalize: Coldstart Recommendation, Semantic Search, Hyper relevant Q & A
Generate: Summarize, Text generation, Auto complete
Build a Large Language Model on your Laptop!
The Third AI Difference: Pre-train on your data instead of just using public models
Sentiment Analysis: Accuracy - RoBERTa (fine tuned for sentiment) - 83.02%, ThirdAI Bolt - 93%, Training Time - 40 hours on GPU, 20 min on laptop CPU, Inference latency (ms) - 46, 1
SciFact Benchmark: Precision@1 - T5-Large - 39, ThirdAI UDT - 58, Recall@100 - 82, 90
Information Retrieval on MSMarco: Latency (ms) - ColBERT V2 - 721, ThirdAI BOLT - 100, Recall - .965, .962
Unified Interference
Follow us on Twitter