@jelashford James, I see that you followed me. After a bit of tracing, I see some of your interests, not much about your work, and a note you are looking for a job. I do not have any paid open positions now. Suggest you cross-link your pages at https://github.com/JELAshford, https://www.rdm.ox.ac.uk/people/james-ashford, https://twitter.com/jelashford and create a tool
Read More »
Specific things – IDs, links, addresses, pointers, unique names, identifiers Generic things – collections, sets, databases, lists, arrays, containers, bags, disks, files, sites, models, groups, topics Units and types – measures, values, weights, counts, statistics Memory objects Any language regularly used for communication between people who do not share a native language is a lingua
Read More »
@lmsysorg I like what you are doing. Please find global open formats for saving and sharing results of conversations. Please also consider the future where science technology engineering mathematics computing, finance government and organizations’ (STEMCFGO) objects are shared, merged, compared, filtered, queried, diffused, verified, summarized. And, communities mapped, supported and enabled. @xai @OpenAI @GoogleAI @GoogleDeepMind
Read More »
John Nosta @JohnNosta My TOP 10 Trends for 2024. 1. AI 2. AI 3. AI 4. AI 5. AI 6. AI 7. AI 8. AI 9. AI 10. AI #AI #LLMs #technology #NewYear2024 https://pic.twitter.com/Y62KouWiPP Replying to @JohnNosta 1. Serious backlash against lazy AI companies who promise and cannot deliver. Who do not cite their sources
Read More »
Ash Jogalekar @curiouswavefn The paradox of technological innovation – great practical technology develops when people don’t explicitly focus on developing great practical technology. https://pic.twitter.com/9R0vdMIkDS Replying to @curiouswavefn You have it slightly wrong. Innovation goes faster where you do not put too strict bounds on what it will cost, who will use it and how it
Read More »
Machine Learning in Chemistry @ML_Chem Constructing custom thermodynamics using deep learning #machinelearning #compchem https://nature.com/articles/s43588-023-00581-5… Replying to @ML_Chem Machine learning and GPT are all about data preparation, basic statistics, probabilities, regressions, correlations and expected values. They just relabeled it “AI” to make it look cute and new. And the AI groups are too new to know
Read More »
The Science World @scienceworld224 Jupiter and its volcanic moon Io as captured by New Horizons Spacecraft https://pic.twitter.com/eR2CgKrKD2 Replying to @scienceworld224 Thank you for pointing out New Horizons Spacecraft. Reading Wikipedia about it, very satisfying. Vast background knowledge, much on the web, is not connected. GPTs could index “NASA” losslessly. If one wants to do it
Read More »
Big Data Biology Lab @BigDataBiology New preprint: A catalogue of small proteins from the global microbiome! As part of our ongoing efforts to understand small proteins in prokaryotes, we catalogued almost 1 billion sequences https://doi.org/10.1101/2023.12.27.573469 Replying to @BigDataBiology Thank you for this effort. When you put the same text in every row of a file,
Read More »
Mustafa Suleyman @mustafasuleyman Whether it’s commercial, religious, cultural, or military, democratic or authoritarian, every possible motivation can be dramatically enhanced by having cheaper power at your fingertips. These tools will be available to all, a proliferation of not just technology but capability itself https://time.com/6310115/ai-revolution-reshape-the-world/ 9:41 AM · Dec 28, 2023 14.6K Views Who created you?
Read More »
Carlos E. Perez @IntuitMachine 26 Prompting Tips 1 – No need to be polite with LLM so there is no need to add phrases like “please”, “if you don’t mind”, “thank you”, “I would like to”, etc., and get straight to the point. 2 – Integrate the intended audience in the prompt, e.g., the audience
Read More »