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VERSION:2.0
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DESCRIPTION:A hands-on guide to embeddings\, RAG\, tool calling\, and agen
 tic reasoning - with working code
X-WR-CALDESC:A hands-on guide to embeddings\, RAG\, tool calling\, and age
 ntic reasoning - with working code
NAME:The AI engineer's playbook: turning static models into dynamic agents
X-WR-CALNAME:The AI engineer's playbook: turning static models into dynami
 c agents
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:The AI engineer's playbook: turning static models into dynamic age
 nts
TIMEZONE-ID:Asia/Kolkata
X-PUBLISHED-TTL:PT12H
X-WR-TIMEZONE:Asia/Kolkata
BEGIN:VEVENT
SUMMARY:The AI engineer's playbook: turning static models into dynamic age
 nts
DTSTART:20260808T100000Z
DTEND:20260808T123000Z
DTSTAMP:20260724T223457Z
UID:session/7jAPhGVR8akW6sJKfdTsHA@hasgeek.com
SEQUENCE:9
CREATED:20260722T045307Z
DESCRIPTION:## 📘 Overview\nA technical deep dive into turning static LL
 Ms into dynamic agents that can use tools\, search data\, and reason. This
  workshop helps participants understand:\n\n- **AI engineering** — LLMs 
 and agents explained in clear\, business-friendly terms\n- **LLM applicati
 ons** — RAG and semantic search as a primary case study\n- **Agentic shi
 ft** — the techniques that transformed simple chatbots into autonomous a
 gents\n- **LLM optimization** — optimizing LLM inference costs\n\n> **Ke
 y takeaway:** A workshop designed to provide conceptual clarity for leader
 s and working code for engineers.\n\n### What you will learn\n- **Foundati
 ons** — embeddings\, similarity metrics\n- **Transformers** — the engi
 ne behind foundation models\n- **Vector databases** — long-term memory t
 hat stores data as embeddings\n- **RAG evolution** — moving beyond simpl
 e vector search to Agentic RAG\n- **Reasoning models** — Chain of Though
 t\, and what powers models like DeepSeek-R1\n- **Tool calling** — how mo
 dels learn to interact with external systems\, APIs\, and datastores\n- **
 Agents** — combining LLMs with tool calling and persistent memory\n- **T
 he bigger picture** — an overview of LLM training\, fine-tuning\, alignm
 ent\, and inference\n\n### Who should attend\nThis session is for decision
 -makers and engineers looking to make informed choices in real-world AI pr
 ojects. We'll cover the trade-offs behind each choice:\n- Local LLMs vs. c
 loud-based APIs\n- Navigating the vector database landscape\n- RAG options
 \, including hybrid search\n- Deterministic vs. agentic workflows\n- Reaso
 ning vs. non-reasoning models\n- Balancing latency vs. throughput\n\n### 
 ✅ Prerequisites\nYou'll get the most out of this session with a baseline
  understanding of:\n- **LLM basics** — familiarity with tokens\, context
  windows\, and the difference between training and inference\n- **Technica
 l setup** — a laptop with an IDE and Python installed\, and/or familiari
 ty with Google Colab\n- **API access** — an API key for an LLM provider 
 (OpenAI\, Anthropic\, or Gemini)\n- **Optional** — a virtual environment
  with the necessary libraries (e.g. `openai`) pip-installed ahead of time\
 n\n### About the Instructor\n**Arvind Devaraj** works on LLM and AI Engine
 ering at Juspay. His background spans GPU programming at NVIDIA and deep l
 earning at Embibe (Reliance Jio). He holds a Master's in Computer Science 
 from the Indian Institute of Science (IISc) Bangalore\, and secured AIR 7 
 in GATE Computer Science.\n\n---\n## How to attend this workshop\nThis wor
 kshop is open to:\n🎟️ Fifth Elephant community members — https://ha
 sgeek.com/fifthelephant#memberships\n🎟️ Ticket holders for The Fifth 
 Elephant annual conference — https://hasgeek.com/fifthelephant/enterpris
 e-ai-in-production-meetup#tickets\n\n**This workshop is open to 30 partici
 pants (in-person) & hybrid access for remote attendees. Seats for in-perso
 n participants will be available on first-come-first-served basis. 🎟️
 **\n\n---\n## Need more info?\n☎️ Call: (91) 7676332020\n📧 Email: i
 nfo@hasgeek.com
LAST-MODIFIED:20260722T133553Z
LOCATION:Sahaj Software\, Koramangala\, Bangalore - https://hasgeek.com/fi
 fthelephant/the-ai-engineers-playbook-workshop/
ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/fifthelephant/the-ai-engineers-playbook-workshop/
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DESCRIPTION:The AI engineer's playbook: turning static models into dynamic
  agents in 5 minutes
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