The code block below illustrates how one might use # and // as comments in your logic and calculations.
# Text can be put here to explain what the logic/calculation does and why.
if ([field1] = '1' and [field2] > 7,
// This comment can explain what the next line does.
[score] * [factor],
// Return '0' if the condition is False.
0
)
Working …
0% means
50% means
100% means
This value you provided is not a number. Please try again.
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The value you provided must be within the suggested range
The value you provided is outside the suggested range
This value is admissible, but you may wish to double check it.
The value entered must be a time value in the following format HH:MM within the range 00:00-23:59 (e.g., 04:32 or 23:19).
This field must be a 5 or 9 digit U.S. ZIP Code (like 94043). Please re-enter it now.
This field must be a 10 digit North American phone number (like 415 555 1212). Please re-enter it now.
This field must be a valid email address (like joe@user.com). Please re-enter it now.
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Participant Application Form:
LLM Pilot Training Project 2026
If you are interested in being a participant in the upcoming LLM Pilot Training Project, organised by MADIVA, eLwazi ODSP and DS-I Africa Coordinating Centre, please read the information that follows and complete the application form. PLEASE NOTE: Spaces are limited and this application does not guarantee enrolment into this training.
Overview
The development of large language models (LLMs) has opened many new possibilities for use of AI in analysing data, though there are many open questions, including accuracy and error, privacy and skills. However, despite these concerns, this is a technology that is probably under-explored in DS-I Africa and which many groups would benefit from its use.
The use of public LLMs such as ChatGPT, Claude and DeepSeek are of course very important. However, these are not always possible to use in our projects because the sensitivity of the data means that providing the data to public LLMs is too risky or too complex to get regulatory approval. The alternative - to run these models either in the cloud or locally - is very attractive.
Programme Structure:
The training programme will run in two phases. Phase A of the programme will start with virtual sessions beginning 10 February to 07 April 2026 with weekly sessions on Tuesdays at 15h00 - 16h30 CAT, including two Thursday sessions on 12 February and 26 March.
Phase B will be a hackathon week hosted from 13 to 17 April 2026, 08h30 - 16h30 CAT in Johannesburg, South Africa.
It is important to note that:
(a) attending the virtual sessions is a prerequisite for attending the hackathon,
(b) however, participants are not required to participate in the hackathon to complete the training.
Application Process:
We invite applications from data scientists and trainees in the DS-I Africa Consortium and partners. (Participants must be competent programmers.)
Application opening date: 10 December 2025
Application closing date: 19 January 2026 at 23:59:59 CAT
Notification date for successful applicants: 26 January 2026
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