You not only have the ability to browse the whole internet (like ChatGPT), but you can also specify that you want it to search wiki or Reddit or academic papers. It’s not quite the same as a plug-in, more like a designated search pool.
TOOLS
-
Search Engine vs AI Assistant: Key Differences Explained
By
–
It’s a search engine, not an assistant. It cannot answer questions like “who are you” or “who made you” like Alexa or ChatGPT can. It’s not meant to write essays. It is meant for search.
-
Perplexity AI Challenges ChatGPT for Internet Browsing
By
–
When it comes to internet browsing, @perplexity_ai is a real challenger to ChatGPT. Here’s my take
-
Extract Insights from Unstructured Text with Deep Learning Models
By
–
Get insights from your text. Over the years, we've built many state-of-art Deep Learning models. Today, you can use them to get insights from unstructured text. And the best part: At @abacusai
, we cover your solution end-to-end. Bring your data, and we will do the rest! -
Self Query Technology Expands to Weaviate Platform
By
–
Self query is really powerful – excited to see it expand to weaviate!
-
ChatGPT Azure Video Indexer Deep Archive Search
By
–
Supercharge Archive Content Discovery with ChatGPT and Azure Indexer "In this blog post, we will explore how ChatGPT can be used to enable deep search on video archives after indexing using Azure Indexer."
-
Perplexity AI Review Coming Soon After Testing
By
–
Yes I tested Perplexity AI. Yes it’s amazing. Will post a review soon. Cc @perplexity_ai
-
Alteryx 2023.1 Release: Enterprise Cloud Analytics Platform
By
–
ICYMI: As the year of the #AlteryxCloud, you can now look forward to our latest release: 2023.1. Enterprise-ready and cloud-friendly! Watch this overview video for more details on the enhanced capabilities now at your fingertips: https://
youtu.be/oBsZc3fIU90 #AnalyticsForAll -
Stanford NLP releases string2string open-source library
By
–
(1/3) Introducing string2string, an open-source library from StanfordNLP’s Mirac Suzgun (+me & @pmphlt
) for string-to-string problems, w/traditional & neural algorithms for string alignment, distance measurement, lexical & semantic search, similarity analysis, and more! -
Advanced Algorithms for NLP Evaluation and Text Analysis
By
–
(2/3) Notable features include the Smith-Waterman, Hirschberg, Wagner-Fisher, and Knuth-Morris-Pratt algorithms, neural techniques like BARTScore, BERTScore, and Faiss, sacreBLEU & ROUGE for evaluation, and visualization tools & metrics for interpretation and analysis.