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# ![@nik_balaji Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::41011818.png) @nik_balaji Nikhil

Nikhil posts on X about llm, arch, braintrust the most. They currently have XXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.

### Engagements: XXX [#](/creator/twitter::41011818/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::41011818/c:line/m:interactions.svg)

- X Week XXX +789%
- X Month XXX +431%
- X Months XXX +796%

### Mentions: X [#](/creator/twitter::41011818/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::41011818/c:line/m:posts_active.svg)


### Followers: XXX [#](/creator/twitter::41011818/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::41011818/c:line/m:followers.svg)

- X Week XXX -XXXX%
- X Month XXX +7%
- X Months XXX +9.60%

### CreatorRank: undefined [#](/creator/twitter::41011818/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::41011818/c:line/m:influencer_rank.svg)

### Social Influence [#](/creator/twitter::41011818/influence)
---

**Social category influence**
[cryptocurrencies](/list/cryptocurrencies) 

**Social topic influence**
[llm](/topic/llm), [arch](/topic/arch), [braintrust](/topic/braintrust)

**Top assets mentioned**
[Braintrust (BTRST)](/topic/braintrust)
### Top Social Posts [#](/creator/twitter::41011818/posts)
---
Top posts by engagements in the last XX hours

"2/n Synth Data Generation: If you *have* to create synthetic trace data do it in a smart skeptical way. * Wear a Product or Data Scientist hat * Think of all 'dimensions' of a user query. Specific eg. a) Features/Intent b) Persona c) Query Complexity"  
![@nik_balaji Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::41011818.png) [@nik_balaji](/creator/x/nik_balaji) on [X](/post/tweet/1948808191732842726) 2025-07-25 18:10:54 UTC XXX followers, XX engagements


"Towards Physics-Guided Foundation Models(FMs): new approach of building domain-specific FMs for scientific/engineering tasks. Don't rely on big data/ gen-purpose architectures alone embed domain knowledge into the model arch objectives training data"  
![@nik_balaji Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::41011818.png) [@nik_balaji](/creator/x/nik_balaji) on [X](/post/tweet/1949545853988835525) 2025-07-27 19:02:07 UTC XXX followers, XX engagements


"All about Error Analysis in LLM Evals some Notes 🧵: * Ideally you have traces that you can annotate for failure modes. Rule of thumb: XXX diverse traces * Reach 'theoretical saturation' * Don't just ask LLM's to give queries/traces"  
![@nik_balaji Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::41011818.png) [@nik_balaji](/creator/x/nik_balaji) on [X](/post/tweet/1948808190466179343) 2025-07-25 18:10:54 UTC XXX followers, XX engagements


"6/n SideNote: Braintrust ai (and other enterprise grade LLM applications) provide: * Eval frameworks to test prompts and model outputs * Traces and logging for monitoring production usage * Playground environments for testing prompts and new models"  
![@nik_balaji Avatar](https://lunarcrush.com/gi/w:16/cr:twitter::41011818.png) [@nik_balaji](/creator/x/nik_balaji) on [X](/post/tweet/1948808197084729780) 2025-07-25 18:10:55 UTC XXX followers, XX engagements