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Description
Instruction-following models like GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have seen significant advancements in their capabilities, leading to a rise in their usage among individuals in both personal and professional contexts. Despite their growing popularity and integration into daily tasks, these models are not without their shortcomings, as they can sometimes disseminate inaccurate information, reinforce harmful stereotypes, and use inappropriate language. To effectively tackle these critical issues, it is essential for researchers and scholars to become actively involved in exploring these models further. However, conducting research on instruction-following models within academic settings has posed challenges due to the unavailability of models with comparable functionality to proprietary options like OpenAI’s text-DaVinci-003. In response to this gap, we are presenting our insights on an instruction-following language model named Alpaca, which has been fine-tuned from Meta’s LLaMA 7B model, aiming to contribute to the discourse and development in this field. This initiative represents a step towards enhancing the understanding and capabilities of instruction-following models in a more accessible manner for researchers.
Description
Scira is an open-source, AI-powered search engine designed to deliver highly accurate answers by combining retrieval-augmented generation (RAG) with real-time search grounding from reliable sources. It utilizes a range of advanced AI models, including Grok, OpenAI’s GPT-4o, Anthropic’s Claude, Google’s Gemini, and Meta’s Llama, enabling it to handle complex queries, image understanding, and real-time calculations. The platform caters to a broad audience, including students needing help with research and math, academics conducting literature reviews, and professionals seeking market insights or technical documentation. Users benefit from a free tier offering limited daily searches and access to some AI models, while the Pro subscription unlocks unlimited queries, priority support, and PDF document analysis. Scira has gained significant recognition, earning awards and a large following on GitHub and other developer communities. It emphasizes a clean, minimalistic interface, making it easy to use while still packing powerful AI capabilities. The platform supports natural, conversational responses, enriching the search experience. Whether for quick answers or deep research, Scira adapts to user needs efficiently.
API Access
Has API
API Access
Has API
Integrations
BERT
ChatGPT
Dolly
GPT-4
Llama
Ludwig
Stable LM
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Stanford Center for Research on Foundation Models (CRFM)
Country
United States
Website
crfm.stanford.edu/2023/03/13/alpaca.html
Vendor Details
Company Name
Scira AI
Country
India
Website
scira.ai/