Qualcomm
Engineer hiring Gen AI,QA
Apply link: https://cuvette.tech/app/other-jobs/678a3bca76eb5643b226f1d2?referralCode=8T994D
All the best 👍👍
Engineer hiring Gen AI,QA
Apply link: https://cuvette.tech/app/other-jobs/678a3bca76eb5643b226f1d2?referralCode=8T994D
All the best 👍👍
Advanced ChatGPT Prompting Techniques
1. Iterative Refinement
Refine prompts step by step, using feedback to improve response accuracy. Example: Start broad, then ask for more specific details.
2. Contextual Memory
Build continuity across conversations by referencing past interactions. Example: "Earlier, you explained X. Can you elaborate on Y?"
3. Multi-Turn Dialogues
Engage in layered conversations, allowing responses to build upon each other. Example: "What is AI?" → "Explain machine learning in detail."
4. Task-Specific Prompts
Customize prompts for targeted tasks like summarization, translation, or code generation. Example: "Summarize this article on AI ethics."
5. Guided Exploration
Direct ChatGPT to focus on specific areas of interest. Example: "Discuss the ethical considerations of AI in healthcare."
6. Prompt Chaining
Use a sequence of related prompts, where each builds on the previous one. Example: "Explain the basics of AI" → "How does it differ from traditional programming?"
1. Iterative Refinement
Refine prompts step by step, using feedback to improve response accuracy. Example: Start broad, then ask for more specific details.
2. Contextual Memory
Build continuity across conversations by referencing past interactions. Example: "Earlier, you explained X. Can you elaborate on Y?"
3. Multi-Turn Dialogues
Engage in layered conversations, allowing responses to build upon each other. Example: "What is AI?" → "Explain machine learning in detail."
4. Task-Specific Prompts
Customize prompts for targeted tasks like summarization, translation, or code generation. Example: "Summarize this article on AI ethics."
5. Guided Exploration
Direct ChatGPT to focus on specific areas of interest. Example: "Discuss the ethical considerations of AI in healthcare."
6. Prompt Chaining
Use a sequence of related prompts, where each builds on the previous one. Example: "Explain the basics of AI" → "How does it differ from traditional programming?"
❤4👍2🙏1
Mastering LLM Engineering: The Complete Roadmap
1️⃣ LLM Fundamentals
Learn to work with pre-trained LLMs and open-source models for language tasks.
2️⃣ Vector Databases
Master storing, managing, and querying text data using embeddings and vector databases.
3️⃣ RAG Basics
Build retrieval-augmented generation pipelines with tools like LangChain and LlamaIndex.
4️⃣ LLM Deployment
Deploy LLMs to cloud or edge, monitor performance, and ensure ethical AI practices.
5️⃣ Advanced RAG
Master advanced retrieval, embeddings, and LLM evaluation techniques.
6️⃣ Inference Optimization
Optimize LLMs with quantization, pruning, and SLMs.
#genai
1️⃣ LLM Fundamentals
Learn to work with pre-trained LLMs and open-source models for language tasks.
2️⃣ Vector Databases
Master storing, managing, and querying text data using embeddings and vector databases.
3️⃣ RAG Basics
Build retrieval-augmented generation pipelines with tools like LangChain and LlamaIndex.
4️⃣ LLM Deployment
Deploy LLMs to cloud or edge, monitor performance, and ensure ethical AI practices.
5️⃣ Advanced RAG
Master advanced retrieval, embeddings, and LLM evaluation techniques.
6️⃣ Inference Optimization
Optimize LLMs with quantization, pruning, and SLMs.
#genai
👍7❤1
Building AI agents is the new IT services 🚀
In the ever-evolving world of technology, IT services have long been the backbone of industries worldwide, driving efficiency & scalability. However, we are now witnessing a seismic shift: building AI agents is rapidly emerging as the new IT services frontier. This transformation is not just a trend but a revolution redefining how businesses operate and innovate.
Why AI Agents?
AI agents are autonomous, intelligent systems designed to perform tasks, solve problems, and interact with humans or other systems. Unlike traditional IT solutions, which require constant human intervention, AI agents are proactive, adaptive, and capable of learning over time. From handling customer queries to automating complex workflows, AI agents are becoming the go-to solution for digital transformation.
✅Key Drivers of the Shift
* Cost-Effectiveness
* Scalability
* 24/7 Availability
* Customizability
* Data-Driven Insights
The Parallel to IT Services
The rise of AI agents mirrors the growth trajectory of IT services in the 1990s and 2000s. Just as IT outsourcing and managed services revolutionized businesses by offloading technical burdens, AI agents are doing the same with cognitive and operational workloads. Organizations are now building specialized AI agents to handle everything from customer support (chatbots like ChatGPT) to strategic decision-making (AI-driven analytics tools).
Opportunities for IT Service Providers
For IT service providers, this shift is an opportunity to redefine their offerings. Instead of just maintaining IT systems, they can:
- Develop AI Agents: Design and deploy customized AI solutions for clients.
- AI-as-a-Service: Offer AI agents on a subscription model, ensuring accessibility for small and medium businesses.
- Integration Expertise: Provide seamless integration of AI agents with existing IT systems.
- AI Training and Support: Educate and assist businesses in adopting AI technologies effectively.
The Road Ahead
The "AI agent" revolution is still in its early days, much like the IT services boom of the past. However, its potential is undeniable. As businesses continue to seek smarter, more efficient solutions, building AI agents will become a core competency for service providers.
For forward-thinking companies, this is the moment to lead the charge, not just as IT service providers but as AI pioneers shaping the future of industries.
The shift is here—are you ready to build the next wave of intelligent systems? 😊
In the ever-evolving world of technology, IT services have long been the backbone of industries worldwide, driving efficiency & scalability. However, we are now witnessing a seismic shift: building AI agents is rapidly emerging as the new IT services frontier. This transformation is not just a trend but a revolution redefining how businesses operate and innovate.
Why AI Agents?
AI agents are autonomous, intelligent systems designed to perform tasks, solve problems, and interact with humans or other systems. Unlike traditional IT solutions, which require constant human intervention, AI agents are proactive, adaptive, and capable of learning over time. From handling customer queries to automating complex workflows, AI agents are becoming the go-to solution for digital transformation.
✅Key Drivers of the Shift
* Cost-Effectiveness
* Scalability
* 24/7 Availability
* Customizability
* Data-Driven Insights
The Parallel to IT Services
The rise of AI agents mirrors the growth trajectory of IT services in the 1990s and 2000s. Just as IT outsourcing and managed services revolutionized businesses by offloading technical burdens, AI agents are doing the same with cognitive and operational workloads. Organizations are now building specialized AI agents to handle everything from customer support (chatbots like ChatGPT) to strategic decision-making (AI-driven analytics tools).
Opportunities for IT Service Providers
For IT service providers, this shift is an opportunity to redefine their offerings. Instead of just maintaining IT systems, they can:
- Develop AI Agents: Design and deploy customized AI solutions for clients.
- AI-as-a-Service: Offer AI agents on a subscription model, ensuring accessibility for small and medium businesses.
- Integration Expertise: Provide seamless integration of AI agents with existing IT systems.
- AI Training and Support: Educate and assist businesses in adopting AI technologies effectively.
The Road Ahead
The "AI agent" revolution is still in its early days, much like the IT services boom of the past. However, its potential is undeniable. As businesses continue to seek smarter, more efficient solutions, building AI agents will become a core competency for service providers.
For forward-thinking companies, this is the moment to lead the charge, not just as IT service providers but as AI pioneers shaping the future of industries.
The shift is here—are you ready to build the next wave of intelligent systems? 😊
👍2