Johnny Ch

Into AI on .NET, a lot. #dotnet #typescript #ai

[Johnny Ch @roamingcode]

Building End-to-End Local AI Agents with Microsoft Agent Framework and AG-UI https://t.co/fkWCHRvw4N

#ai #dotnet

[Johnny Ch @roamingcode]

Model context protocol server prompts with microsoft semantic kernel
https://t.co/Qutl8s29Tv

#semantickernel #ai #dotnet

[Johnny Ch @roamingcode]

Bedrock anthropic claude tool call integration with microsoft semantic kernel
https://t.co/ZtrH3BFN45

#semantickernel #ai #dotnet

[David Fowler @davidfowl]

Docker model????

https://t.co/sARcDOB54u

[Johnny Ch @roamingcode]

Model context protocol integration with microsoft semantic kernel
https://t.co/qUPJAan3y6

#semantickernel #ai

[David Fowler @davidfowl]

Official MCP C# SDK! https://t.co/6QUkzXqMWj

Happy Friday!

#dotnet #mcp

[ilan bigio @ilanbigio]

announcing our brand new function calling guide @openai!

we heard your feedback and made some key changes:

- 50% shorter & clearer
- new best practices (more on this below 👇)
- in-doc function generation (!)
- fully-functional example w/ weather API

check it out and let me know what you think! we love feedback 💪

[Hugo Bowne-Anderson @hugobowne]

🤖 I’m prepping several classes on LLM evaluation for AI products right now. If you’re building in this space, these are the 3 best resources to get started, and I recommend reading them in this order:
1. “Task-Specific LLM Evals that Do & Don’t Work” by @eugeneyan https://t.co/XaHmofzAGf
2. “Your AI Product Needs Evals” by @HamelHusain https://t.co/pE3tqRn1JF
3. “Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences” by @sh_reya et al. https://t.co/Ft9JvF8xmU

Read them, internalize the key points, and keep them in mind while building, building, and building. Your AI products will be far better—and you’ll increase your chances of becoming extremely wealthy 🤑

[Johnny Ch @roamingcode]

Azure OpenAI Error Handling in Semantic Kernel
https://t.co/arEnkWgyOH
#semantickernel #ai

[Marc Baumann 🌔 @marcb_xyz]

🚨JUST IN: Google releases white paper on AI agents

It covers the basics of llm agents and a quick Langchain implementation

[Johnny Ch @roamingcode]

Working with multiple language models in Semantic Kernel
https://t.co/881sURUnXi

#semantickernel #ai

[Johnny Ch @roamingcode]

@DevLeaderCa Copilot, cursor and gpt

[Johnny Ch @roamingcode]

Format OpenAI chat completion output with Json schema #semantickernel #ai
https://t.co/7e20JR1Wzz

[Johnny Ch @roamingcode]

Lightweight AI evaluation #semantickernel #ai
https://t.co/cke8LAYOHZ

[Johnny Ch @roamingcode]

Evaluate #ai https://t.co/pGaeg7pylR.Evaluation https://t.co/4ebIBZqO0k

[Johnny Ch @roamingcode]

#kernelmemory #ai
https://t.co/AluwbLYA4z

[Johnny Ch @roamingcode]

#kernelmemory #ai #Azure
https://t.co/sk76m9a3BJ

[Johnny Ch @roamingcode]

#kernealmemory #ai #cosmosdb

https://t.co/w2HJZjVEae

[Johnny Ch @roamingcode]

#kernelmemory #ai https://t.co/a7Gf3U5JPd

[Dave Callan | dotnet @Dave_DotNet]

ADO .NET v Entity Framework v Dapper
TechEmpower Fortunes benchmarks 2023 ⬇️

The gap between EF and Dapper was about 55% a few rounds ago.

#dotnet