While loop without an exit condition in real life 😅

Don’t think it’s killing the Rag startups as the different approaches for different domains matter and I feel there’s still room for growth around building better info retrieval agents.

I noticed that because of the way openAI developed their prompt system and my early interest, I often thought all other models from different providers worked with that same prompt pattern. I guess I developed a bias.

I mean when inferencing meta llama scout through Groq Inc for OCR, the speed and performance combined currently is unmatched so I mean everyone has their area to shine.

As usual they know their strengths and they cook

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mbohbless.appwrite.network Don't know if any one partially inclined to academia and industry is interested i build my portfolio for a while and after starting ~6 months ago, I finally tried and got mostly done with it this week. Here's a GitHub repo to copy and edit for your

Three years ago, a million tokens of AI inference cost $60. Today? Six cents. A 99.9% cost collapse. When something this powerful becomes this cheap, it doesn’t stay confined to research labs, It is able to flood the economy. AI is now diffusing faster than any technology in

Working with biometric data might seem like an easy problem especially around software implementation until we look at it from a standpoint of interoperability . Few days back, while working on a biometric task, I got to discover the CBEFF, framework developed by nist and later

Ohhh just a wild thought if this is good enough, rather than managing embedding generation for client queries, small enough state of the art embedding models can be loaded onto the client web application when dealing with RAG, thereby only making you spend for responses

Currently attending the NbaAfrica s’ #NBAAfricatripledoubleaccelerator currently holding at Carnegie Mellon University Africa. Great pitches to help change the content

I am currently evaluating topics to work, I am targeting the COLM (Conference on language modeling) march abstract submission deadline. I am just shooting a random shot out there if any one would be interested in brainstorming and coming up with a project and let's attempt to

Data sovereignty policies are creating a critical tension in Sub-Saharan Africa's AI advancement. Nations are rightfully protective of their data, yet AI deployment often requires specialized compute infrastructure (GPUs) that's prohibitively expensive and scarce across the

Africa's AI adoption isn't just about getting GPUs, it's about architecting systems that respect data sovereignty while enabling capability. Working on frameworks that might help bridge this gap. Side note 😅: Personally I currently am looking for a really challenging

These are some ground work examples for how the issues(my previous 2 posts) can be approached though there'd be some fundamental differences

A few days ago I made a post on infrastructure, giving an overview of what challenges we have on the African continent. Deals like these show the potential of working on infrastructure that’s gonna benefit the continent while being compliant and yeah let’s see what early 2026

Last year I was posted some stuff about infrastructure related work. I have been talking with some people and was told to write a proposal for the research and system implementation. I have been thinking of calling this system Aldrin and would be working on creating this

Sovereignty matters when AI systems start to matter. As AI systems move from labs into institutions, the question shifts from “how well does it perform?” to “what are we actually deploying?” With K2 Think V2, sovereignty means owning the full lifecycle of the model without