Comparison
prompt-in-context-learning vs filco
Verdict
Pick prompt-in-context-learning if prompt-in-context-learning offers specialized resources for mastering large language models through advanced prompt engineering and in-context learning techniques; pick filco if filco is a Python-based project that focuses on dialog generation, fact verification, and question answering using models like Flan-T5 and LLaMA2, with Dense Passage Retriever for retrieving relevant Wikipedia passages.
Markdown twin · prompt-in-context-learning alternatives · filco alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | prompt-in-context-learning | filco |
|---|---|---|
| Maintenance | Slowing (114d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (894d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- prompt-in-context-learning
- Resources for in-context learning and prompt engineering with LLMs like ChatGPT and GPT-3
- filco
- Learning to Filter Context for Retrieval-Augmented Generation
Stars
- prompt-in-context-learning
- 2.2k
- filco
- 199
Forks
- prompt-in-context-learning
- 191
- filco
- 20
Open issues
- prompt-in-context-learning
- 7
- filco
- 2
Language
- prompt-in-context-learning
- Jupyter Notebook
- filco
- Python
Adopt for
- prompt-in-context-learning
- prompt-in-context-learning offers specialized resources for mastering large language models through advanced prompt engineering and in-context learning techniques.
- filco
- Filco is a Python-based project that focuses on dialog generation, fact verification, and question answering using models like Flan-T5 and LLaMA2, with Dense Passage Retriever for retrieving relevant Wikipedia passages.
Persona
- prompt-in-context-learning
- -
- filco
- -
Runtime
- prompt-in-context-learning
- -
- filco
- -
License
- prompt-in-context-learning
- The tool is open-source under the MIT license, allowing for free use, modification, and distribution with certain conditions.
- filco
- CC-BY-SA-4.0
Last pushed
- prompt-in-context-learning
- May 29, 2026
- filco
- Apr 6, 2024
Categories
- prompt-in-context-learning
- AI Agents, LLM Frameworks
- filco
- Data & Retrieval, Model Training
Trust and health
Maintenance
- prompt-in-context-learning
- Slowing (36%)
- filco
- Dormant (18%)
Days since push
- prompt-in-context-learning
- 114d
- filco
- 894d
Open issues (now)
- prompt-in-context-learning
- 7
- filco
- 2
Stars delta
- prompt-in-context-learning
- -1 (30d)
- filco
- +1 (30d)
Open issues delta
- prompt-in-context-learning
- +1 (30d)
- filco
- 0 (30d)
OSV dependency advisories
- prompt-in-context-learning
- No lockfile (source not queried)
- filco
- Published findings
Full report
- prompt-in-context-learning
- Trust report
- filco
- Trust report
Choose prompt-in-context-learning if…
- prompt-in-context-learning is primarily Jupyter Notebook; filco is Python.
- License: prompt-in-context-learning is MIT, filco is CC-BY-SA-4.0.
- Requirements: Operates in Jupyter Notebook environments..
- Tags unique to prompt-in-context-learning: ai-agent, chain-of-thought, chatbot, in-context-learning.
- Also covers AI Agents, LLM Frameworks.
- Use when seeking to enhance the capabilities of AI agents specifically using cutting-edge prompt engineering techniques such as those used with ChatGPT, GPT-3, or FlanT5.
When NOT to use prompt-in-context-learning
- Not recommended if you require functionalities specific to other AI frameworks that do not align with the prompt engineering techniques focused on here.
- Avoid this resource if your project strictly focuses on areas outside of in-context learning and advanced LLMs like ChatGPT or GPT-3.
Choose filco if…
- filco is primarily Python; prompt-in-context-learning is Jupyter Notebook.
- License: filco is CC-BY-SA-4.0, prompt-in-context-learning is MIT.
- Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2.
- Also covers Data & Retrieval, Model Training.
- When you need to generate dialogues that require fact verification and question answering capabilities, leveraging models like Flan-T5 and LLaMA2.
When NOT to use filco
- If your project does not require the use of Flan-T5 or LLaMA2 models for dialog generation, fact verification, or question answering.
- When you do not need to retrieve relevant Wikipedia passages using Dense Passage Retriever.
- If your project does not involve the use of preprocessed datasets with top-5 retrieved passages from Wikipedia.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (EgoAlpha/prompt-in-context-learning) · observed Sep 20, 2026
- GitHub forks (EgoAlpha/prompt-in-context-learning) · observed Sep 20, 2026
- Last push (EgoAlpha/prompt-in-context-learning) · observed May 29, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zorazrw/filco) · observed Sep 20, 2026
- GitHub forks (zorazrw/filco) · observed Sep 20, 2026
- Last push (zorazrw/filco) · observed Apr 6, 2024
- License file (CC-BY-SA-4.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: prompt-in-context-learning 2.2k · filco 199 (synced Sep 20, 2026).
Common questions
- What is the difference between prompt-in-context-learning and filco?
- prompt-in-context-learning: Resources for in-context learning and prompt engineering with LLMs like ChatGPT and GPT-3. filco: Learning to Filter Context for Retrieval-Augmented Generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose prompt-in-context-learning over filco?
- Choose prompt-in-context-learning over filco when prompt-in-context-learning is primarily Jupyter Notebook; filco is Python; License: prompt-in-context-learning is MIT, filco is CC-BY-SA-4.0; Requirements: Operates in Jupyter Notebook environments.; Tags unique to prompt-in-context-learning: ai-agent, chain-of-thought, chatbot, in-context-learning; Also covers AI Agents, LLM Frameworks; Use when seeking to enhance the capabilities of AI agents specifically using cutting-edge prompt engineering techniques such as those used with ChatGPT, GPT-3, or FlanT5.
- When should I choose filco over prompt-in-context-learning?
- Choose filco over prompt-in-context-learning when filco is primarily Python; prompt-in-context-learning is Jupyter Notebook; License: filco is CC-BY-SA-4.0, prompt-in-context-learning is MIT; Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2; Also covers Data & Retrieval, Model Training; When you need to generate dialogues that require fact verification and question answering capabilities, leveraging models like Flan-T5 and LLaMA2.
- When should I avoid prompt-in-context-learning?
- Not recommended if you require functionalities specific to other AI frameworks that do not align with the prompt engineering techniques focused on here. Avoid this resource if your project strictly focuses on areas outside of in-context learning and advanced LLMs like ChatGPT or GPT-3.
- When should I avoid filco?
- If your project does not require the use of Flan-T5 or LLaMA2 models for dialog generation, fact verification, or question answering. When you do not need to retrieve relevant Wikipedia passages using Dense Passage Retriever. If your project does not involve the use of preprocessed datasets with top-5 retrieved passages from Wikipedia.
- Is prompt-in-context-learning or filco more popular on GitHub?
- prompt-in-context-learning has more GitHub stars (2,246 vs 199). Stars measure visibility, not whether either tool fits your constraints.
- Are prompt-in-context-learning and filco open source?
- Yes - both are open-source projects on GitHub (prompt-in-context-learning: MIT, filco: CC-BY-SA-4.0).
- Where can I find alternatives to prompt-in-context-learning or filco?
- GraphCanon lists graph-backed alternatives at prompt-in-context-learning alternatives and filco alternatives (prompt-in-context-learning markdown twin, filco markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, prompt-in-context-learning or filco?
- prompt-in-context-learning: Slowing. filco: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for prompt-in-context-learning and filco?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prompt-in-context-learning trust report; filco trust report.