skaiphd Profile Banner
Dr. Sanjay Kumar Profile
Dr. Sanjay Kumar

@skaiphd

Followers
83
Following
113
Media
24
Statuses
2K

Data Science & AI Product Leader

San Fransisco USA
Joined September 2023
Don't wanna be here? Send us removal request.
@skaiphd
Dr. Sanjay Kumar
1 year
Transformer Network from Scratch This visual representation effectively demystifies the complex components of Transformer models, highlighting their significance in modern NLP applications. #Transformers #GenAI #AI #LLM Reference : https://t.co/QVo3HOTyzm
1
2
2
@ForbesTechCncl
Forbes Technology Council
2 days
The Critical Role Of Evaluation Metrics In Generative AI https://t.co/FYtoGz3JG8 Written by @skaiphd of City of New Orleans
0
1
1
@PythonPr
Python Programming
27 days
RAG Fundamentals First
2
118
581
@akshay_pachaar
Akshay ๐Ÿš€
30 days
7 LLM generation parameters, explained visually:
14
189
891
@TheBetterPath_
TheBetterPath
1 month
Save this for later
28
1K
8K
@PythonPr
Python Programming
1 month
8 types of LLMs used in AI Agents
22
182
898
@NikkiSiapno
Nikki Siapno
1 month
If youโ€™re serious about learning agentic AI, hereโ€™s a practical pathway Iโ€™ve found highly effective: Iโ€™ve been diving deeper into how to build multi-agent systems. A lot of courses out there are shallow in coverage. To build real AI agents, you need more than just tool usage
23
172
1K
@goyalshaliniuk
Shalini Goyal
4 months
Agentic AI vs Traditional AI โ€“ What Sets Them Apart? The future of AI is evolving from static tools to dynamic, autonomous agents. Hereโ€™s a detailed breakdown of what makes Agentic AI the next big leap: 1. What is Traditional AI? These systems follow fixed rules for narrow
10
176
626
@goyalshaliniuk
Shalini Goyal
5 months
Want to master Large Language Models in 2025? Start with these fundamentals. LLMs like GPT-4, Gemini, and Mistral are transforming how we build AI systems, but understanding the layers behind them is key to unlocking their full potential. Hereโ€™s what this cheat sheet covers:
8
127
574
@LebenTech
Lennox Bennett
5 months
AI Agents vs. Agentic AI: Whatโ€™s the Difference and Why It Matters by @skaiphd https://t.co/bmjOLsRGKH
0
1
1
@alexxubyte
Alex Xu
5 months
Top 20 AI Concepts You Should Know
13
207
1K
@alexxubyte
Alex Xu
5 months
How Do Companies Ship Code to Production?
13
119
839
@AIatMeta
AI at Meta
5 months
Aria Gen 2 glasses mark a significant leap in wearable technology, offering enhanced features and capabilities that cater to a broader range of applications and researcher needs. We believe researchers from industry and academia can accelerate their work in machine perception,
45
191
974
@Aurimas_Gr
Aurimas Griciลซnas
5 months
๐—”๐—œ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ. ๐Ÿ‘‡ In my latest Newsletter episode I go deep into my AI Engineering Learning Roadmap. It is created with beginners in mind but can be easily adapted if you are proficient in some of the areas already. Find the
11
198
819
@skaiphd
Dr. Sanjay Kumar
5 months
โ€œUnderstanding AI/ML Infrastructure Design Principlesโ€ by Sanjay Kumar PhD https://t.co/PgAijxGFSl
0
0
1
@itsafiz
Afiz โšก๏ธ
6 months
Anthropic is offering Prompt Engineering Interactive Course for Free! No signup, no credit card required. Find the course link ๐Ÿงต๐Ÿ‘‡
3
40
137
@techopsexamples
TechOps Examples
6 months
DevOps Learning Path for Beginners ๐Ÿ‘‡ For individuals starting out, having proficiency in the following areas is recommended: 1. Version Control: - Git: Focus on mastering basic commands, branching and merging, collaboration, conflict resolution, version tagging 2. Linux
6
85
394
@goyalshaliniuk
Shalini Goyal
6 months
Behind every fast query, smart filter, or scalable database lies a powerful data structure. These 20 structures arenโ€™t just theory, theyโ€™re the backbone of real-world systems that power search engines, time-series storage, blockchain, and more. 1. Indexing Structures Hash
4
172
698
@Aurimas_Gr
Aurimas Griciลซnas
6 months
๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† explained in a simple way ๐Ÿ‘‡ In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and react given past interactions or data not immediately available. It is
7
90
302
@techyoutbe
Tech Fusionist
6 months
AI/ML Infra Design Principles ๐Ÿ‘‡๐Ÿ‘‡
5
53
294