About Sharon Machlis
Sharon is an award-winning journalist and data analyst who is equally at home analyzing data, coding tools for journalists, and covering technology. She is currently director of editorial data & analytics at Foundry (an IDG Inc. company), which publishes tech Web sites including Computerworld, CIO, PCWorld, and Macworld; and author of InfoWorld's Do More With R series .
Her book, Practical R for Mass Communication and Journalism, is available from publisher CRC Press and Amazon (you can see Six chapters free online).
Sharon is well known in the R community. She has taught workshops at ProPublica, and Investigative Reporters and Editors conferences and keynoted the 2020 European R User Meeting.
Sharon received an ASBPE national gold award for impact/investigative online excellence (see story) and two ASBPE national golds for best how-to article (see 2014 and 2017 winners) She was also named the Digital Analytics Association's top practitioner in 2021 for her work analyzing data at her job and in her community.
Sharon holds an Extra-class ham radio license and was honored by the Association of Radio Amateurs of Bosnia & Herzegovina "for extraordinary contribution to transmitting humanitarian messages of the citizens of Bosnia-Herzegovina" during the 1992-95 war.
Sharon's other hobbies include photography, travel, hiking, snowshoeing, and classical piano. And, she's somewhat obsessed with the R programming language.
You can follow Sharon on Mastodon at @smach@masto.machlis.com and her searchable app with her Mastodon posts, as well as on LinkedIn. (She is not currently active on Twitter, but you can see her prior tweets at @sharon000.)
Sharon's Recent InfoWorld and Computerworld Articles
Posit lays off R Markdown, knitr creator Yihui Xie 2024-01-05
8 ChatGPT tools for R programming 2023-12-21
5 easy ways to run an LLM locally 2023-11-30
Anthropic's Claude 2.1 LLM turbocharges performance, offers beta tool use 2023-11-21
Anthropic's Claude 2.1 LLM turbocharges performance, offers beta tool use 2023-11-21
OpenAI DevDay: 3 new tools to build LLM-powered apps 2023-11-07
Sharon's Data-Related Mastodon Posts
This is compelling (if results are decent): A chatbot that runs 100% locally on your Windows PC that can answer questions about your own personal data - without sending any of that data to an external LLM.
#GenAI #GenerativeAI #LLM #LLMs #chatbots #RAG #Computerworld (2024-02-13 22:39:13) >>
The {explore} #rstats 📦 aims to offer “faster insights with less code for experienced R users.” It features interactive data exploration, automated reports, and a few key functions like describe, explain & abtest.
“Exploring a fresh new dataset is exciting. Instead of searching for syntax, use all your attention searching for interesting patterns in your data, using just a handful easy to remember functions.” By Roland Krasser
https://rolkra.github.io/explore/
#EDA @rstats (2024-02-11 12:57:41) >>
We've launched a generative AI tool that answers reader questions based solely on articles from Computerworld, CIO, CSO, InfoWorld and Network World!
Tool: https://www.cio.com/smart-answers/
Info about the Smart Answers app: https://www.cio.com/article/1303995/introducing-smart-answers-a-genai-tool-for-cio-com-readers.html (2024-02-08 16:44:02) >>
From #LlamaIndex:
The new docs from Mistral AI are out! Check out the links from Sophia Yang, Ph.D. or get started with RAG with LlamaIndex in 10 lines of code: https://docs.mistral.ai/guides/basic-RAG/#rag-with-llamaindex
Sophia's links: https://lnkd.in/gh7iBGeQ
You can also check out our own docs to see how to use Mistral-medium, streaming, async and more: https://docs.llamaindex.ai/en/stable/examples/llm/mistralai.html
And check out our entry in their brand-new cookbook where we show you how to build agentic RAG with Mistral: https://github.com/mistralai/cookbook/blob/main/llamaindex_agentic_rag.ipynb
#GenAI #RAG (2024-02-06 22:46:59) >>