diff --git a/summary/sessions/296/attendees.adoc b/summary/sessions/296/attendees.adoc new file mode 100644 index 00000000..c416b6b3 --- /dev/null +++ b/summary/sessions/296/attendees.adoc @@ -0,0 +1,17 @@ +==== Attendees + +. link:https://x.com/Alpastx[Alpesh Bhagwatkar^] +. link:https://x.com/BhaveshCodes[Bhavesh Kukreja^] +. link:https://twitter.com/chiragnayyar[Chirag Nayyar^] +. link:https://twitter.com/SirusTweets[Darshan Rander^] +. link:https://twitter.com/harshgkapadia[Harsh Kapadia^] +. link:https://twitter.com/furtado_jaden[Jaden Furtado^] +. link:https://twitter.com/PranavDani3[Pranav Dani^] +. Aryakumar Jaiswal +. GAMILTRON +. Janvi Matani +. Jatin Lachhani +. Mustansir Hirani +. Rishi Setpal +. Ritvik Sardana +. getu zeshus diff --git a/summary/sessions/296/content.adoc b/summary/sessions/296/content.adoc new file mode 100644 index 00000000..54c9ca66 --- /dev/null +++ b/summary/sessions/296/content.adoc @@ -0,0 +1,38 @@ +Date: 11-07-2026 + +Duration: 2 hr 16 mins + +==== Topics Discussed + +* Harsh Kapadia shared progress on CPU benchmarking. + ** He finished baseline cache benchmarks (pointer chasing and stride tests) and published results on GitHub. + ** He is moving on to core-to-core latency measurements across CPU core complexes, using ping-pong style approaches and existing Rust tools as references before writing custom code. + ** He is also continuing with Onur Mutlu's lectures. +* Aryakumar Jaiswal explained link:https://www.langchain.com[LangChain^] concepts from his work building AI systems for fund managers. + ** He described LangChain as a framework for LLM-based apps with pipelines over text, image, or audio inputs, commonly using models such as Gemini or OpenAI. + ** He noted that these apps are usually packaged and deployed on cloud platforms such as GCP or AWS. +* Harsh summarized the Lang ecosystem while Darshan walked through his demo. + ** link:https://www.langchain.com[LangChain^] as the base framework, link:https://www.langchain.com/langgraph[LangGraph^] for stateful workflows, link:https://www.langchain.com/langsmith[LangSmith^] for tracing and debugging, and link:https://www.langflow.org[LangFlow^] as a visual builder. + ** Darshan noted that LangSmith is hard to self-host and that he used it for debugging and model access. +* Pranav Dani walked through Hyper-V internals and compared AMD SNP (Secure Nested Paging) with Intel TDX. + ** He described Hyper-V as a Type 1 hypervisor that boots before guest OSes and virtualizes CPU core state. + ** SNP/TDX encrypt and isolate guest memory so the host or other guests cannot freely read it, and they matter mainly in virtualization rather than bare-metal single-OS setups. + ** The discussion covered multi-level page tables, machine pages, 4 KB base pages, pinned pages, STLB/TLB behavior, shadow paging, and `CR3` as the page-table base. +* Jatin Lachhani asked how to grow as a back-end engineer while staying with Java. + ** The group recommended project-based learning, studying systems topics, and trying languages such as Go or C for deeper understanding. + ** Advice included focusing on strong engineering fundamentals and building more complex systems, rather than chasing a single shortcut to keep up with AI. + ** Jaden Furtado suggested longer internships in Java/Spring to compare skills against industry expectations. + ** Harsh said he would post recommended back-end learning links in the chat. + ** The group also cautioned against overusing AI while learning, and treated it as a guide rather than a substitute for understanding. +* Alpesh Bhagwatkar talked about certification plans after CPTS. + ** He expects to finish CPTS in September and is considering OSWE or OSAI instead of OSCP. + ** Suggested prep paths included PentesterLab and practice on open-source projects. + +==== Projects Showcased + +* Darshan Rander showcased a LangChain demo hosted on his portfolio. + ** The frontend is a static site on link:https://pages.cloudflare.com[Cloudflare Pages^], calling a link:https://fastapi.tiangolo.com[FastAPI^] backend on link:https://railway.app[Railway^]. + ** The ingestion pipeline chunks blogs, PDFs, and websites, embeds them, stores vectors in link:https://www.trychroma.com[Chroma^], and uses link:https://neon.tech[Neon^] (serverless Postgres) for chat and relational storage. + ** He described a harness that defines the model's world and exposes planning and execution tools (including read/write access). + ** The group discussed similarity search over embeddings (natural-language style matching, not keyword-only search). + ** Alternatives such as link:https://www.pinecone.io[Pinecone^] and link:https://lancedb.com[LanceDB^] came up; Darshan chose Chroma for developer experience. diff --git a/summary/static/img/296.jpg b/summary/static/img/296.jpg new file mode 100644 index 00000000..4bd4d121 Binary files /dev/null and b/summary/static/img/296.jpg differ