Update README.md

README.md

@@ -31,33 +31,33 @@ We’re interested in flipping that — building models and tools that:
 ### Language models
 We experiment with fine-tuning and adapting LLMs for:
 - Swahili and other African languages  
-- instruction-following and reasoning  
-- domain-specific use (like healthcare)
+- Instruction-following and reasoning  
+- Domain-specific use (like healthcare)
 
 ### Multimodal AI
 Not everything is text. We’re also exploring:
-- medical images (like X-rays)
-- document understanding  
-- combining text + vision in practical ways
+- Medical images (like X-rays)
+- Document understanding  
+- Combining text + vision in practical ways
 
 ### Healthcare AI
 A big area of interest for us:
-- clinical decision support  
-- simple, reliable tools for frontline health workers  
-- models that can run even with limited connectivity  
+- Clinical decision support  
+- Simple, reliable tools for frontline health workers  
+- Models that can run even with limited connectivity  
 
 ### Data
 A lot of the challenge is data.
 We spend time on:
-- building and cleaning datasets  
-- working with low-resource and noisy data  
-- figuring out what “good evaluation” looks like outside English benchmarks  
+- Building and cleaning datasets  
+- Working with low-resource and noisy data  
+- Figuring out what “good evaluation” looks like outside English benchmarks  
 
 ### Running models locally
 We care about making things usable:
-- smaller, efficient models  
+- Smaller, efficient models  
 - LoRA / quantization  
-- running models on limited hardware  
+- Running models on limited hardware  
 
 ---
 
@@ -74,9 +74,9 @@ We care about making things usable:
 We’re not trying to chase hype.
 
 We’re more interested in:
-- what works in practice  
-- what can be deployed  
-- what actually helps someone on the ground  
+- What works in practice  
+- What can be deployed  
+- What actually helps someone on the ground  
 
 AI doesn’t need to be bigger — it needs to be **more relevant**.
 
@@ -86,10 +86,10 @@ AI doesn’t need to be bigger — it needs to be **more relevant**.
 
 If you’re working on similar problems — especially around:
 - African languages  
-- healthcare AI  
+- Healthcare AI  
 - low-resource ML  
 
-we’re open to collaborating.
+We're open to collaborating.
 
 ---
 
@@ -107,9 +107,9 @@ Mostly practical stuff:
 ## Long-term
 
 We’d like to see:
-- stronger datasets from Africa  
-- models that understand context, not just language  
-- more local ownership of AI systems  
+- Stronger datasets from Africa  
+- Models that understand context, not just language  
+- More local ownership of AI systems  
 
 ---