URL for AI/GenAI
LLM
Inside The Brain Of An LLM: What Makes AI So Powerful?
Landscape
https://landscape.lfai.foundation/
https://landscape.pytorch.org/
Models for coding
1. Qwen2.5 Coder
2. Granite Code
3. CodeGemma
4. Deep Seek Coder V2
5. StarCoder 2
6. Code llama
7. Codestral
Coding tool Google Opal is a new vibe coding app and here's how you can try it for free
Interviews
Pioneering Innovation in Cloud and AI Transformation Done By Chandrakanth Devarakadra Anantha
Innovation in Machine Learning & Engineering Leadership by Pratik Parekh
Amazing Innovation in Telecom Cloud: The Journey of Jayavelan Jayabalan
Handson
https://www.youtube.com/watch?v=RQFfK7xIL28
CAMARA - NaaS
Keywords
- CAMARA APIs
- Open GW
- Network API
- NaaS
AI impacts API development
Usecase
1. anti fraud
2. location API : book cab for people not having smart phone
3. voice activated AI transaction. book a cab
4. geo fencing. warn people when other people comes close to them. logistic when truck reaches store, offloading
5. future Quality in demand
Challenges
1. monetizing
2. standardizing
3. presenting to non-telco audience
4. focus on right APIs: There are 15 fraud APIs, customer only wants to know is it fraud or not?
5. scale and coverage: approach operator and help them coming to eco system
6. data privacy and consent: no need for customer to provide consent for each new API. it is bad experience
7. education and certification about API. Let developer make new business models and business case.
8. telco shall listen to industry need. how to solve challenges using advance connectivity and APIs. demand side focus.
https://www.youtube.com/watch?v=Rg-TKpBuiPI
Popular APIs
- Messaging
- authentication
- Device location,
- QoS,
- fraud prevention,
- identity verification
- age verification
https://cpaasaa.com/post-mwc-aduna-vonage-and-the-future-of-network-apis/
Network API centralizes complexity and distribute simplicity
https://www.youtube.com/watch?v=4C9zrRNoxas
Vonage and Infobip : service aggregation
https://www.youtube.com/watch?v=Jh8iUuNHFYw
Network APIs, allow operators to virtualize parts of their networks and provide tailored data and features to developers
Network API v/s Usecase
1. Verify Location: Navigation, geotagging and location-aware notifications, personalized marketing
2. Device Status: Optimize resource usage based on device health and network condition. Identify issue and proactive customer support
3. SIM Density: Ensure optimal user experience during peak hours, SON
4. SIM swap: Fraud Prevention
5. QoD
6. Device identification, device location, and phone number verification
7. Identity and consent management
8. OTP validation
https://www.vonage.com/resources/articles/what-is-a-network-api/
Vonage Network Registry
CSP can find who developer uses
Developer can decide which CSP to choose.
We are moving from Transactional world to conversational world.
https://camaraproject.org/resources/
अष्टाध्यायी - 2
This article is my key take away points from PythonKrit workshop, at Samskrit Bharti Bangalore during March 2025
Dr. Amba Kulkarni explains how ASHTADHYAYI by sage PAANINI is similar to computer programming and compiler design
https://sanskrit.uohyd.ac.in/faculty/amba/ and https://www.sanskritstudiespodcast.com/1759898/episodes/12324157-16-amba-kulkarni-sanskrit-and-computers
ASHTADHYAYI is also Algorithm and Data structure. Class/Object has data and function. Paanini's DHTAATU list has name of DHAATU and "इत् प्रत्यय". Here "इत् प्रत्यय" indicates, which operation to be performed. We know the challenges with multiple inheritance in Object Oriented Programming. Prof. Ashvini Bhave shows how TADDHITTA indicates single inheritance.
Sage PAANINI introduced a new data structure SHIVA-SUTRA. He rearranged all character and did slicing then perform Boolean operation that input character belongs to given list or not, given input set of character is subset or not.
Meta language itself is part of ASHTADHYAYI .
Three types of rules
1. regular rules
2. context free rules
3. context sensitive rules
We use regular expression * for beginning AADI , UPAADHAA for set of characters in middle with [] and $ for end of line (ANTHA).
We know yacc and bison tools are for context free grammar. If we write all PAANINI rules as per syntax of yacc and bison then we can analyze the complexity of PAANINI's ASHTADHYAYI grammar. There are few non-formal aspects in ASHTADHYAYI, as it was written to understand by human brain, not by computer.
Sage PAANINI was about 1500 years ahead of time compare to today's computing power.
Rules are like event in programming. To understand grammar one of the rule shall be evaluated, it is like firing an event.
ANUVRUTI is similar to factorization in Maths.
Slides: https://web.stanford.edu/~kiparsky/Papers/paris.pdf and Stream rtsp://stream-serv.inrialpes.fr/Roc/Symposiums_2007/Sanskrit291007B_Gillon.rm by Paul Kiparsky
The entire data that powers https://ashtadhyayi.com https://github.com/chaitanya-lakkundi/ashtadhyayi-com-data/
https://github.com/chaitanya-lakkundi/ashtadhyayi-commentaries/
https://drdhaval2785.github.io/siddhantakaumudi/
https://github.com/drdhaval2785/siddhantakaumudi
https://en.wikipedia.org/wiki/Mahabhashya
Books
https://en.wikipedia.org/wiki/Algorithms_%2B_Data_Structures_%3D_Programs
https://www.sushmajee.com/reldictionary/literature/grammar/sanskrit-grammar.htm
Books: https://www.ebharatisampat.in/
https://www.amazon.com/Vaiyakaran-Siddhant-Kaumudi-Set-Volumes/dp/B00LND3A5U
Papers
https://sanskrit.inria.fr/Symposium/Program.html
https://upenn.academia.edu/Cardona
https://independent.academia.edu/SarojaBhate
YouTube / Videos:
https://www.youtube.com/ashtadhyayi
https://www.youtube.com/playlist?list=PLxPxgIW05q49w0453x8iDZpfv0fNH8ujK
https://www.youtube.com/watch?v=gs0c4UXgM8M
https://www.youtube.com/@prasarbharatisanskrit
https://www.sanskritstudiespodcast.com/1759898
https://www.youtube.com/watch?v=7X5uqiODNPw&list=PLEKLkZ5fxeD0Xt4TKUwAkiRVw_AUV3y_X
https://www.youtube.com/watch?v=_OkzIE61EMg
https://www.youtube.com/watch?v=AGPfSgVqb78
https://www.youtube.com/watch?v=9tndwY-pJAk&list=PLeCoRXpRAy9iK1CTKseX_Vgg9-RcV-Uql
PythonKrit
This article is my key take away points from PythonKrit workshop, at Samskrit Bharti Bangalore during March 2025.
XML to Mindmap generation : https://sambhasha.ksu.ac.in/CompLing/tarkasangraha/live/
We can have special tag like
<PAA-LAXANAM>
<PAA-UDAA>
<PAA-VAKYAM>
Other Tools
https://sambhasha.ksu.ac.in/projects/
Aksharamukha
https://github.com/chaitanya-lakkundi/aksharamukha
Vaijayantīkośa Knowledge-Net https://sambhasha.ksu.ac.in/CompLing/VK_ACL.pdf
A directory of Indic (Indian) language computing projects and resources https://indic.page/
https://sambhasha.ksu.ac.in/CompLing/chandas/chandas.html
https://www.gitasupersite.iitk.ac.in/conceptmaps Good resource for Neo4J graph DB
https://sanskritlibrary.org/downloads.html
https://sanskritlibrary.org/projects.html
https://sanskritlibrary.org/tools.html
Krudanta Rupa: https://github.com/chaitanya-lakkundi/kridanta-rupa-android/blob/master/kridanta_rupa_samgraha.pdf
Aadi Shankaracharya : https://www.sankara.iitk.ac.in/ and https://www.advaita-vedanta.org/texts/index.html
https://www.gitasupersite.iitk.ac.in/
GitHub
https://github.com/chaitanya-lakkundi/
https://github.com/drdhaval2785
Useful Sanskrit Alphabet https://github.com/chaitanya-lakkundi/varnamala/blob/main/varnamala.py
https://github.com/drdhaval2785/SanskritVerb/
https://github.com/drdhaval2785/SanskritSubanta
For Kids
https://bala.sambhasha.ksu.ac.in/
https://www.samskritpromotion.in/samskrit-toys
Scholars
https://sanskrit.uohyd.ac.in/faculty/amba/ and https://www.sanskritstudiespodcast.com/1759898/episodes/12324157-16-amba-kulkarni-sanskrit-and-computers
https://web.stanford.edu/~kiparsky/ and https://en.wikipedia.org/wiki/Paul_Kiparsky
Python
List Tuple Dictionary
Ordered? Yes Yes No
Mutable? Yes No Yes
Different Data Types? Yes Yes Yes
Can be indexed? Yes Yes Yes by keys
Syntax [] () {}
Duplicate elements? Yes Yes Yes, but key must be unique
- Both List and tuple supports: Slicing and skipping index
- Tuple is immutable, so faster
