Artificial Intelligence
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This Channel is to spread knowledge on Artificial Intelligence.โค๏ธ
We are here to simplify and understand everything about Artificial Intelligence.๐Ÿค–
Join us in this mission.โค๏ธ
Letโ€™s Grow Together.๐Ÿ˜

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๐Ÿ˜ฑ 1 in 5 Americans have flirted with AI chatbots.

๐Ÿค– Many see these AI companions as more than just tools for tasks, theyโ€™re becoming seen as virtual friends and even partners in some cases.

๐Ÿ‘ซ A key attraction is the ability to customize the AI partner, ensuring they match personal preferences.

๐Ÿ˜ Some are also drawn by the idea of trust and loyalty AI can offer, as well as the novelty of exploring relationships without typical human relationship problems.

๐Ÿค‘ This market is expected to grow significantly, with some experts predicting it could become a billion-dollar industry in the near future.

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Hi All,

We, at Gartner, are hiring for below Data Analyst Roles. If your experience aligns with any of the below mentioned roles, kindly share your updated resume with me on garima.rai@gartner.com

1) Associate Data Analyst
๐Ÿ“Œ 0.5-2 years of experience with strong proficiency in Python language.
๐Ÿ“Œ SQL/Excel/PowerBI experience is good to have.
๐Ÿ“Œ Technical Background preferred.

2) Data Analyst
๐Ÿ“Œ 1.5-3 years of experience with strong proficiency in Advanced MS Excel (not limited to experience only with excel functions, pivot table and basic formula).
๐Ÿ“Œ SQL/Python/PowerBI experience is good to have.
๐Ÿ“Œ Technical Background preferred.

3) Senior Data Analyst
๐Ÿ“Œ 3-5 years of experience with strong proficiency in PowerBI or Advanced Excel (not limited to experience only with excel functions, pivot table and basic formula).
๐Ÿ“Œ SQL/Python experience is good to have.
๐Ÿ“Œ Technical Background preferred.

4) Data Analyst, Lead
๐Ÿ“Œ 5-6 years of experience with strong proficiency in PowerBI.
๐Ÿ“Œ Able to generate actionable insights and able to share the data through storytelling
๐Ÿ“Œ Technical Background preferred.

@Artificial_intelligence_ai

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Prompt Engineering Techniques: Comprehensive Repository for Development and Implementation ๐Ÿ–‹๏ธ

๐Ÿ““ Github

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Telegram: https://t.me/Artificial_intelligence_AI
#fresher looking for data science and data engineering roles, please send your resume with a brief introduction of your skills and strengths to ๐Ÿ’Œ priya1.sharma@infogain.com, c to neelima.trehan@infogain.com. Good opportunity in a tough market!!

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Advanced Camera Control is now available for Gen-3 Alpha Turbo. Choose both the direction and intensity of how you move through your scenes for even more intention in every shot. Available now at runwayml.com

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itโ€™s genius๐Ÿ˜ณ, Tesla Bot lyingโ€ฆ

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๐Ÿš€ We're Hiring: hashtag#Technical_Support_Engineer ๐Ÿš€
๐Ÿ“ Location: Baner, hashtag#Pune
๐Ÿ’ผ Experience: 2โ€“4 years
๐Ÿ“Š Openings: 2 positions

Join our dynamic team and empower businesses with cutting-edge BI solutions and seamless support!

What Youโ€™ll Do:
๐ŸŒ Systems & Networking: Manage Linux/Unix systems and ensure seamless data flow.
๐Ÿ“Š BI & Analytics: Build and maintain dashboards using tools like Incorta, Power BI, Tableau, and more.
โ˜๏ธ Cloud Integration: Support cloud platforms (AWS, Azure, GCP).
๐Ÿ’พ SQL & Data Integration: Optimize data processes and analytics solutions.

What Weโ€™re Looking For:
๐Ÿ”‘ Expertise in Linux/Unix systems and networking.
๐Ÿ“ˆ Hands-on experience with BI tools and SQL.
โ˜๏ธ Familiarity with cloud platforms (AWS, Azure, GCP).
๐Ÿš€ Bonus: Java application support and data warehousing experience.

๐Ÿ’ก Why Join Us?
Collaborate on impactful projects.
Grow with cutting-edge technologies.
Be part of a team that values innovation and problem-solving.
Ready to take your career to the next level? Apply now and letโ€™s make data-driven magic together!

Share your CV at anmolj@ithena.ai

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We are hiring : Data Scientist
Location- Noida (WFO)

Required Skills and Qualifications:
Experience: 3-5 years of experience in Data Science, AI, and Machine Learning.
Proficiency in Python, R, or other relevant programming languages.
Expertise in LLM fine-tuning, prompt engineering, and vector databases.
Experience with frameworks like LangChain, Hugging Face Transformers, or similar tools.
Strong knowledge of retrieval systems and knowledge bases for RAG pipelines.
Hands-on experience in deploying models in cloud environments like AWS, GCP, or Azure.

Interested candidates please share your CV at vaishali.tyagi@kiwitech.com

@Artificial_intelligence_ai

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Artificial Intelligence pinned ยซOnly playlist you need to look to learn Machine Learning from Basics https://youtube.com/playlist?list=PL9m8ngZLLVomZCPblj4Py7HpQapy5dlfB&si=5p0auz1fYVzikpJr @Artificial_intelligence_ai https://t.me/Artificial_intelligence_AIยป
๐Ÿš€ ๐…๐ฅ๐š๐ข๐ซ๐ฌ๐“๐ž๐œ๐ก ๐ข๐ฌ ๐‡๐ข๐ซ๐ข๐ง๐ : ๐‰๐ฎ๐ง๐ข๐จ๐ซ ๐Œ๐‹/๐€๐ˆ/๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐ญ๐ข๐ฌ๐ญ - ๐…๐ฎ๐ฅ๐ฅ-๐“๐ข๐ฆ๐ž (๐‚๐š๐ข๐ซ๐จ) ๐Ÿš€

๐–๐ก๐š๐ญ ๐˜๐จ๐ฎโ€™๐ฅ๐ฅ ๐๐ซ๐ข๐ง๐ :
โœ… Python Skills: Proficiency with libraries like NumPy, pandas, and scikit-learn.
โœ… API Development: Basic experience with FastAPI for creating web services.
โœ… Database Knowledge: Familiarity with SQL or MongoDB.
โœ… DevOps Basics: Exposure to Docker, CI/CD, and cloud technologies is a plus.
โœ… Error Tracking: Understanding logging and troubleshooting techniques.
โœ… AI Foundations: Interest or experience in NLP (e.g., NLTK) or computer vision (e.g., OpenCV).

๐€๐ฉ๐ฉ๐ฅ๐ฒ ๐๐จ๐ฐ:
๐Ÿ“ฉ Send your CV to habeba.kamel@flairstech.com with the subject line "Junior ML/AI/Data Scientist Position."

@Artificial_intelligence_ai

https://t.me/Artificial_intelligence_AI
Mathematical Foundations of Machine Learning

๐Ÿ““ book

๐Ÿ‘‰@Artificial_intelligence_ai

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Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

๐Ÿ–ฅ Github: https://github.com/zhouyiks/CoLVA/tree/main

๐Ÿ“• Paper: https://arxiv.org/pdf/2501.04670v1.pdf

โญ๏ธ Dataset: https://paperswithcode.com/dataset/bdd100k

๐Ÿ‘‰@Artificial_intelligence_ai

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DeepMind in collaboration with University College London "Reinforcement Learning Lecture Series 2021"

Website: https://lnkd.in/gwykwSAy
Video lectures: https://lnkd.in/gJxaQXic

๐Ÿ‘‰@Artificial_intelligence_ai

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Guide to Building an AI Agent

1๏ธโƒฃ ๐—–๐—ต๐—ผ๐—ผ๐˜€๐—ฒ ๐˜๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐—Ÿ๐—Ÿ๐— 
Not all LLMs are equal. Pick one that:
- Excels in reasoning benchmarks
- Supports chain-of-thought (CoT) prompting
- Delivers consistent responses

๐Ÿ“Œ Tip: Experiment with models & fine-tune prompts to enhance reasoning.

2๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜โ€™๐˜€ ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ฐ
Your agent needs a strategy:
- Tool Use: Call tools when needed; otherwise, respond directly.
- Basic Reflection: Generate, critique, and refine responses.
- ReAct: Plan, execute, observe, and iterate.
- Plan-then-Execute: Outline all steps first, then execute.

๐Ÿ“Œ Choosing the right approach improves reasoning & reliability.

3๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐—ฟ๐—ฒ ๐—œ๐—ป๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ & ๐—™๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€
Set operational rules:
- How to handle unclear queries? (Ask clarifying questions)
- When to use external tools?
- Formatting rules? (Markdown, JSON, etc.)
- Interaction style?

๐Ÿ“Œ Clear system prompts shape agent behavior.

4๏ธโƒฃ ๐—œ๐—บ๐—ฝ๐—น๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—ฎ ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜†
LLMs forget past interactions. Memory strategies:
- Sliding Window: Retain recent turns, discard old ones.
- Summarized Memory: Condense key points for recall.
- Long-Term Memory: Store user preferences for personalization.

๐Ÿ“Œ Example: A financial AI recalls risk tolerance from past chats.

5๏ธโƒฃ ๐—˜๐—พ๐˜‚๐—ถ๐—ฝ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ผ๐—ผ๐—น๐˜€ & ๐—”๐—ฃ๐—œ๐˜€
Extend capabilities with external tools:
- Name: Clear, intuitive (e.g., "StockPriceRetriever")
- Description: What does it do?
- Schemas: Define input/output formats
- Error Handling: How to manage failures?

๐Ÿ“Œ Example: A support AI retrieves order details via CRM API.

6๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜โ€™๐˜€ ๐—ฅ๐—ผ๐—น๐—ฒ & ๐—ž๐—ฒ๐˜† ๐—ง๐—ฎ๐˜€๐—ธ๐˜€
Narrowly defined agents perform better. Clarify:
- Mission: (e.g., "I analyze datasets for insights.")
- Key Tasks: (Summarizing, visualizing, analyzing)
- Limitations: ("I donโ€™t offer legal advice.")

๐Ÿ“Œ Example: A financial AI focuses on finance, not general knowledge.

7๏ธโƒฃ ๐—›๐—ฎ๐—ป๐—ฑ๐—น๐—ถ๐—ป๐—ด ๐—ฅ๐—ฎ๐˜„ ๐—Ÿ๐—Ÿ๐—  ๐—ข๐˜‚๐˜๐—ฝ๐˜‚๐˜๐˜€
Post-process responses for structure & accuracy:
- Convert AI output to structured formats (JSON, tables)
- Validate correctness before user delivery
- Ensure correct tool execution

๐Ÿ“Œ Example: A financial AI converts extracted data into JSON.

8๏ธโƒฃ ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐— ๐˜‚๐—น๐˜๐—ถ-๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ (๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ)
For complex workflows:
- Info Sharing: What context is passed between agents?
- Error Handling: What if one agent fails?
- State Management: How to pause/resume tasks?

๐Ÿ“Œ Example:
1๏ธโƒฃ One agent fetches data
2๏ธโƒฃ Another summarizes
3๏ธโƒฃ A third generates a report

Master the fundamentals, experiment, and refine and.. now go build something amazing! (Written by : Armand Ruiz)
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Only playlist you need to look to learn Machine Learning from Basics

https://youtube.com/playlist?list=PL9m8ngZLLVomZCPblj4Py7HpQapy5dlfB&si=5p0auz1fYVzikpJr

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This free 8 hour course from NVIDIA is all you need to start building RAG Agents with LLMs

It talks in depth about -

- LLM Inference Interfaces
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- Gradio and LangServe
- Dialog Management with Running States
- Working with Documents
- Embeddings for Semantic Similarity and Guardrailing
- Vector Stores for RAG Agents

Start your course here -

https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1
๐Ÿš€ *Weโ€™re Hiring: Data Analyst Trainer | Udaipur* ๐Ÿ“Š

Are you passionate about data analysis and excited to share your expertise with future professionals? We are looking for a *Data Analyst Trainer* to join our team in *Udaipur, Rajasthan*!

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Let's make data analysis fun and engaging together! ๐Ÿ“Šโœจ

@Artificial_intelligence_ai

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